Media
Webcast Abstracts
The Robot Report Webinars
Title: 2026 Robotics Industry Outlook
Date: January 14, 2026
Abstract:
Join The Robot Report for an exclusive industry outlook session featuring leading robotics executives, investors, and technology experts as they analyze the trends shaping 2026. The coming year presents both challenges and opportunities for robotics developers, suppliers, and users.
Our editors will examine the investment landscape and how geopolitical factors, supply chain considerations, and regulatory developments are influencing strategic decisions across the robotics ecosystem. The discussion will also cover emerging markets and priorities such as sustainability.
This free webinar is designed to help robotics professionals plan their 2026 strategies, whether you’re a startup seeking funding, an established company expanding into new markets, or a component supplier evaluating emerging opportunities.
Title: Digital Twins, Simulation to Optimize Robot Performance
Date: February 18, 2026
Abstract:
Discover how digital twins can reduce physical prototyping costs, accelerate development cycles, and improve operational efficiency. This webinar will also cover AI integration approaches for predictive maintenance and performance optimization, as well as technical frameworks for synchronizing physical and virtual robot operations.
This session is designed for robotics engineers, development managers, and technical leaders who want to understand how digital twins can transform their processes. Our speakers will share case studies of successful implementations, discuss common pitfalls to avoid, and provide practical guidance on selecting simulation tools for specific robotics applications.
Whether you’re developing industrial robots, service robots, or specialized automation systems, learn how digital twins can reduce development costs and improve robot performance through virtual testing.
Title: Engineering Focus on Motion Control
Date: March 18, 2026
Abstract:
Join leading motion control engineers for an in-depth technical session on designing precision motion systems for modern robotics applications. This webinar will address challenges such as electromagnetic interference, servo loop bandwidth optimization, and managing dynamically changing loads in complex robotic systems.
Our expert speakers will also dive deep into control algorithms that are enabling next-generation robotics capabilities. Attendees can learn about practical solutions for common motion control challenges, including strategies for minimizing cogging in permanent magnet motors, optimizing bearing tolerances, and implementing adaptive control algorithms that handle mechanical resonance issues.
This technical session is intended for robotics engineers, motion control specialists, and component suppliers who need to understand the latest developments in precision motion systems. Our speakers will share real-world engineering solutions, discuss emerging technologies like predictive filtering techniques, and provide practical guidance on achieving the precision and reliability required for commercial robotics applications.
Title: Best Practices for Robot Design
Date: April 15, 2026
Abstract:
Learn from industry-leading robotics engineers and design experts as they share proven methodologies for creating successful robotic systems. This comprehensive virtual panel will cover the entire robot design lifecycle, from initial concept development through manufacturing, deployment, and ongoing optimization.
Our speakers represent companies that have successfully brought innovative robotics products to market and will share the design principles and engineering practices that enabled their success. The discussion will focus on practical design approaches that balance performance requirements with manufacturing feasibility, cost targets, and reliability standards.
Viewers can also learn about assembly optimization techniques and supply chain considerations that impact design decisions. Our experts will address the integration of AI and advanced sensors into robotic systems for both current capabilities and future upgrades.
Our speakers will also share case studies of successful design projects, discuss common challenges, and offer best practices that reduce development risk and accelerate time-to-market. This virtual panel will provide valuable insights into the design methodologies and engineering practices that separate successful robotics products from those that struggle in the marketplace.
Title: Mobile Manipulators and Humanoids
Date: June 17, 2026
Abstract:
The robotics landscape is experiencing an unprecedented transformation as mobile manipulators and humanoid robots transition from laboratory curiosities to practical industrial solutions. Initial commercial trials have shown how humanoid robots’ form factor enables them to work in existing infrastructure designed for human workers.
The convergence of advanced AI, improved actuators, and cost-effective manufacturing is driving this revolution. For robotics developers and systems integrators, this represents both opportunity and challenge. The shift from traditional industrial robots to mobile, human-like systems requires new approaches to software development, safety protocols, and human-robot interaction.
In addition, prospective end users must evaluate how these versatile platforms might address labor shortages while maintaining operational efficiency and safety standards.
Title: Physical AI and Robotics
Date: August 19, 2026
Abstract:
Physical AI represents the next frontier in robotics, where artificial intelligence systems directly interact with and manipulate the physical world through robotic platforms. This convergence is reshaping how robots perceive, learn, and adapt to dynamic environments, moving beyond pre-programmed behaviors to intelligent, context-aware decision-making.
The integration of foundation models, similar to those powering large language models, is enabling robots to generalize across tasks and environments. These systems can learn from demonstration, adapt to new scenarios, and perform complex manipulation tasks without extensive reprogramming. Real-time sensor fusion, computer vision, and machine learning algorithms work together to create robots that can understand and respond to their surroundings with unprecedented sophistication.
For systems integrators, physical AI presents opportunities to deploy more flexible automation solutions that can handle variability and uncertainty. Developers are creating new frameworks for robot learning, while end users benefit from systems that require less specialized programming and can adapt to changing operational requirements. The technology could be particularly impactful in unstructured environments where traditional robotics approaches struggle.
Title: Field Robotics in Agriculture, Energy, and Construction
Date: September 16, 2026
Abstract:
Field robotics is rapidly advancing beyond agriculture into sectors like construction, mining, environmental monitoring, and infrastructure inspection. These outdoor robotic systems must operate reliably in unpredictable environments—navigating diverse terrains and enduring varying weather conditions while maintaining high performance.
In this webinar, we’ll dive into the latest trends driving this evolution, including ruggedized hardware, advanced battery technology, and navigation systems that combine GPS, lidar, and computer vision. From autonomous vehicles in agriculture handling precision planting, harvesting, and crop monitoring, to construction robots performing excavation, concrete placement, and site surveying with minimal human input, the possibilities are growing.
We’ll also explore how robots are transforming environmental monitoring, with applications for wildlife tracking, pollution assessment, and disaster response in hazardous or remote locations. The integration of 5G connectivity and edge computing is empowering real-time data processing and remote operations, making these systems more autonomous and capable than ever.
Title: Engineering Focus on Motion Control
Date: October 21, 2026
Abstract:
Motion control is the backbone of modern robotics, dictating precision, speed, and reliability in every robotic application. In this webinar, we’ll explore how cutting-edge advancements in servo technology, sensor feedback systems, and control algorithms are driving new levels of performance across both industrial and collaborative robotics platforms.
The growing trend of integrated motion control systems is simplifying installations by combining motors, drives, and controllers into compact, intelligent packages that reduce complexity and streamline setup. Advanced algorithms are now compensating for mechanical variations, thermal effects, and load disturbances in real-time, ensuring precision even in the most challenging conditions.
As robots work more closely with human operators, safety-focused motion control is critical. We’ll cover how collaborative robots are using force sensing and compliance control to guarantee safe interactions without compromising on productivity. Plus, we’ll dive into the emerging standards and protocols shaping the future of robot safety.
We’ll also explore the impact of digital twin technology on motion control design. This innovative tool allows engineers to simulate multi-axis systems, predict performance, and optimize control parameters before physical implementation—reducing development time and improving overall system efficiency.
Title: Robots in the Supply Chain
Date: November 18, 2026
Abstract:
Supply chain robotics is undergoing rapid transformation as companies seek to address labor shortages, improve efficiency, and build resilience against disruptions. Available technologies include warehouse automation, picking and packing systems, autonomous mobile robots for material handling, and AI-powered inventory management. These systems can work together and help organizations adapt to changing demand patterns and product variations.
The integration of artificial intelligence enables predictive analytics, demand forecasting, and dynamic routing optimization. Robots can now learn from operational data to improve performance, reduce errors, and optimize energy consumption. Real-time visibility across the supply chain allows for proactive decision-making and rapid response to disruptions.
Even manufacturers already using robots stand to gain from these advancements, achieving higher quality, reduced downtime, better predictability, and cost optimization. This transition is a strategic necessity, supporting the shift towards high-volume, high-mix production, resilient supply chains. The technology is particularly valuable for handling the complexity of modern e-commerce fulfillment and omnichannel distribution.
Title: 2026 Robotics Year in Review
Date: December 16, 2026
Abstract:
This free webinar will look back at the robotics trends, triumphs, and trip-ups of 2026. The convergence of AI breakthroughs, supply chain pressures, and labor market dynamics have created perfect conditions for the robotics revolution to fully materialize.
From fleets of fully autonomous vehicles taking to city streets across the U.S. to increasing numbers of delivery drones and humanoid robots, our speakers will discuss how autonomous systems are becoming part of our everyday lives.
At the same time, the vast majority of robots are still in factories and warehouses, but they are taking on new roles within those facilities, as well as in hospitals, restaurants, and hotels. Collaborative robots, autonomous mobile robots, and the AI to program them are leading the way to safer and less tedious operations.
Our experts will also analyze ongoing consolidation in the robotics industry, with notable shutdowns as some startups and even established companies struggled to get funding or market traction.
Automated Warehouse Webinars
Title: Automated Storage and Retrieval Systems Evolve
Date: February 4, 2026
Abstract:
The automated storage and retrieval systems (ASRS) market is growing as the technology evolves from traditional fixed-rack systems to intelligent, adaptive solutions that maximize space utilization while improving operational efficiency.
The most significant development is the emergence of robotic shuttle-based ASRS, which combine the precision of traditional grid storage with the flexibility of mobile robots, enabling dynamic inventory management that adapts to changing demand patterns. Modern shuttle systems can handle mixed SKUs, variable case sizes, and integrate with existing warehouse management systems (WMS).
Artificial intelligence is transforming ASRS operations through predictive analytics, demand forecasting, and real-time optimization algorithms. AI-powered systems can now anticipate inventory needs, optimize storage locations based on velocity patterns, and automatically adjust retrieval sequences to minimize cycle times. The expert panelists will explain how integration of digital twins can let operators simulate and optimize system performance before implementation.
The shift toward goods-to-person (G2P) fulfillment models is driving innovation in compact, high-density storage solutions. New micro-fulfillment center designs combine ASRS with robotic picking systems within smaller footprints. These systems are particularly valuable for urban areas, where space is at a premium and rapid delivery is essential.
This webinar will discuss how automated storage can grow with business needs, reduce labor costs, and increase throughput. It will also examine:
- AI-powered optimization algorithms that enable predictive inventory management and real-time system performance adjustments
- G2P fulfillment models drive innovation in compact, high-density storage solutions for urban fulfillment centers
- How the latest ASRS systems can significantly reduce labor costs while increasing throughput and operational efficiency
- Scalable automation, such as charging systems, allow the ASRS to adapt to business growth and changing demand patterns without major infrastructure changes
Title: How to Get Started With Warehouse Automation
Date: March 4, 2026
Abstract:
The journey to warehouse automation has never been more accessible, yet many organizations struggle with where to begin. The key is adopting a phased approach that builds automation capabilities incrementally while delivering measurable return on investment (ROI) at each stage. Modern warehouse systems are designed to integrate with existing operations, allowing companies to automate specific processes without disrupting entire workflows.
The first step involves conducting a comprehensive operational assessment to identify automation opportunities with the highest impact and lowest risk. This includes analyzing current picking accuracy, labor costs, throughput bottlenecks, and seasonal demand variations.
Many successful implementations begin with automating repetitive, high-volume tasks such as case picking, replenishment, or inventory moves before expanding to more complex operations.
This webinar speakers will also review current robotics options, approaches to pilot projects, and the importance of change management. Early employee engagement, comprehensive training programs, and clear communication about how automation will enhance rather than replace human workers helps ensure smooth adoption.
Phased implementation approach can build automation capabilities incrementally while delivering measurable ROI at each stage. Attendees will also learn about best practices, including:
- Operational assessment to identify high-impact, low-risk automation opportunities starting with repetitive, high-volume tasks
- Autonomous mobile robots (AMRs) provide a good entry point, requiring minimal infrastructure changes and supporting multiple use cases
- Pilot programs with single zones or product categories enable low-risk testing and ROI demonstration before scaling
- Comprehensive change management and employee engagement ensure smooth adoption and improved job satisfaction
Title: Autonomous Mobile Robots Go to the Warehouse Edge and Beyond
Date: April 1, 2026
Abstract:
Autonomous mobile robots are rapidly expanding beyond traditional material handling into sophisticated applications that transform warehouse operations. The technology has matured to handle complex tasks including inventory cycle counting, quality inspection, and even basic maintenance functions while integrating with existing warehouse management systems (WMS).
This webinar will follow the evolution of AMRs from simple goods-to-person (G2P) picking to collaborative workflows. The expert panelists will explain how to coordinate multiple robots to handle complex order assembly, manage dynamic routing based on real-time conditions, and adapt to changing facility layouts without reprogramming. This flexibility makes AMRs particularly valuable for seasonal operations and facilities with evolving product mixes.
Attendees of this free webinar can also learn about applications such as inventory management, cross-docking operations, and overall facilities management. As mobile platforms, most AMRs are dedicated to materials handling and movement, but a few have gained additional functionality.
Automated Warehouse will also share insights about:
- Expanding applications for AMRs, from G2P picking to inventory management
- Designing collaborative workflows to enable multiple robots to coordinate complex tasks and adapt to changing facility layouts
- How to use continuous monitoring and AI to improve accuracy and safety while reducing labor requirements for cycle counting
- Coordinating processing of mixed pallets and cross-docking operations to speed up the movement of goods
Title: Robotic Case and Each Picking
Date: June 3, 2026
Abstract:
Robotic picking technology has reached an inflection point where systems can now handle the complexity and variability that previously required human dexterity. Advanced gripper technologies, combined with AI-powered vision systems, enable robots to pick items of vastly different sizes, weights, and packaging types with reliability approaching human-level performance.
The integration of machine learning algorithms allows picking robots to continuously improve their performance through experience. These systems can learn from successful picks, adapt to new product types, and optimize material handling based on item characteristics.
This free webinar will also discuss collaborative picking workflows, where robots and humans work together to optimize productivity. Robots can handle repetitive, high-volume picks, while humans manage exceptions, complex items, and quality verification.
In addition, the industry experts will examine advances in computer vision and AI to improve robot navigation and accurate manipulation. They will explain the “data flywheel” concept and its application to robotic picking. Attendees will be able to ask questions about:
- Advanced gripper technologies and AI-powered vision systems that enable robots to handle complex, variable picking tasks with human-level reliability
- Machine learning algorithms for continuous performance improvement through experience and adaptation to new product types
- Collaborative picking workflows that combine robot speed and consistency with human flexibility
- How vision advances are changing handling of mixed-case picking, damaged packaging, and irregular-shaped items
Title: Autonomous Yard Trucks
Date: July 1, 2026
Abstract:
Facilities operators and logistics providers have started to deploy fully autonomous electric tractors for moving trailers around warehouse and distribution yards. These autonomous yard trucks promise to address driver shortages, safety concerns, and the need for round-the-clock operations.
In this Automated Warehouse webinar, expert panelists will explain how advances in self-driving vehicles and mobile robots have enabled the development of these systems. Suppliers claim that they can operate continuously, reducing trailer dwell times and improving overall efficiency.
The speakers will also examine the role of perception systems and AI, where human interaction is still necessary, and related technologies such as charging systems. The latest autonomous yard trucks are designed to handle a range of trailers, be centrally supervised, and integrate with existing management software.
Webinar attendees can learn more about the potential benefits of electric and autonomous yard trucks, including:
- Deployments of autonomous trucks are starting to scale, thanks to demonstrated reliability
- AI-powered perception systems enable safe navigation in complex yard environments
- Significant operational cost reductions and improved safety metrics drive a compelling business case for adoption
- Electric vehicles contribute to sustainability goals while being able to operate continuously
Title: Automated Warehouse Week
Date: August 3-7 2026
Abstract:
Join the Automated Warehouse Week series of webinars exploring the technology developments transforming supply chains. From advances in AI and humanoid robots to the quest for fully autonomous fulfillment centers, these sessions will provide essential insights for logistics professionals seeking to understand the new paradigms reshaping distribution operations. Register to discover how the convergence of AI, robotics, and data analytics is creating unprecedented opportunities for operational excellence.
August 3, 2026: Transforming Order Fulfillment with Next-Gen Picking Robotics
August 4, 2026: Robots Take on the Loading Dock and the Yard
August 5, 2026: Advances in Automated Storage and Retrieval
August 6, 2026: Intelligent Infrastructure: How AI and Data Analytics Are Making Warehouses Smarter
August 7, 2026: Beyond Fleet Management: Orchestration Software and Digital Twins
Broadcast Date TBD: Mobile Manipulation and Humanoid Robots: The Future of Human-Robot Collaboration in Supply Chains
Title: Fleet Management Ties Operations Together
Date: October 7, 2026
Abstract:
As autonomous mobile robot deployments expand beyond small implementations or individual facilities in a company’s network, sophisticated fleet management systems have become essential for coordinating multiple robots and maximizing operational efficiency. This software can enable centralized control, optimization, and monitoring of robot operations across facilities.
This webinar will examine what data is needed for real-time visibility into robot and warehouse operations. The expert speakers will also discuss how fleet management software is evolving from individual robots or models from a single vendor to view the entire warehouse alongside warehouse management systems (WMS).
In addition, the webinar will touch on how digital twins and machine learning can make use of data to complement or enhance fleet management. From monitoring to troubleshooting, task allocation, and predictive maintenance, modern tools can create further efficiencies – if implemented properly.
This webinar will also examine the importance of scalability, cybersecurity, and more:
- Why fleet management is essential for deployments of multiple AMRs, enabling centralized control and route optimization
- How modular platforms can evolve with customer needs and incorporate enhancements for long-term scalability without infrastructure redesign
- AI and machine learning algorithms that enable new levels of human-machine interaction, predictive maintenance, and dynamic task assignment
- Cybersecurity features including encrypted communications and access controls protect against operational vulnerabilities
Title: Data and AI for Logistics Management
Date: December 2, 2026
Abstract:
The convergence of big data analytics and artificial intelligence is revolutionizing logistics, enabling predictive decision-making, real-time optimization, and automated responses to shifting conditions. In this session, we’ll explore how these technologies are driving inventory management, AI-powered sustainability, and warehouse efficiency to new heights.
Advanced analytics platforms process vast amounts of operational data from sources like warehouse management systems, transportation networks, and IoT sensors, providing full visibility into supply chain performance. This integration helps managers spot bottlenecks, predict demand, and optimize resources. Real-time insights allow for immediate decision-making, while historical data reveals trends for long-term improvements.
Machine learning algorithms excel in demand forecasting, inventory optimization, and route planning, using customer behavior and external factors to predict future needs with impressive accuracy. This ability to anticipate change gives logistics teams a competitive edge in fast-paced environments.
AI-powered automation extends beyond physical robots, streamlining processes like inventory adjustment, shipment rerouting, and warehouse layout optimization. By integrating with existing infrastructure, these intelligent systems learn and continuously improve, delivering higher performance with less manual intervention.
Finally, we’ll explore how AI-driven logistics not only boosts operational efficiency but also drives sustainability by reducing fuel consumption, minimizing equipment downtime, and cutting waste—essential for meeting environmental regulations and business goals.
Join us to learn how AI and big data are reshaping the future of logistics, and find out more about:
- How big data and different approaches to AI can drive real-time tracking, predictive analytics, and automated warehouse optimization
- Machine learning enhances demand forecasting and inventory optimization through advanced pattern recognition
- AI-powered automation goes beyond robotics, optimizing complex logistics processes with intelligent software
- Comprehensive data integration delivers full visibility into supply chain performance and optimization opportunities
- Sustainability gains include reduced fuel use, minimized downtime, and less waste through smart optimization