All-Access Pass Holders can attend all agenda sessions and will have access to speaker presentations after the event. Agenda sessions are subject to change. Check back often for updates and additions.
In this keynote panel, leaders from Agility Robotics, ASTM International, Boston Dynamics, and RealSense will cut through the hype to examine what humanoids can realistically accomplish in factories and warehouses today. The discussion will explore current capabilities, technical and operational challenges, safety and standards considerations, and key lessons learned from early deployments and testing. Attendees will gain a grounded understanding of where humanoids are delivering value now—and what must improve for broader industrial adoption.
Session details to come.
The robotics industry is entering a new era where success depends not just on innovation but on the ability to scale and deploy systems in real-world environments. While the breakthrough happens in the lab, the business happens post-design across an increasingly unpredictable public infrastructure. This panel assembles robotics industry leaders to bridge the gap between cutting-edge innovation and commercial viability, discussing challenges and opportunities.
Attendees can expect a deep dive into the operational "valley of death" and the strategies used to cross it. Key insights include:
Robots don’t get smarter by accident; they improve through a deliberate data flywheel. This panel explores how real-world robot data is captured, curated, and fed back into perception, autonomy, and system performance. Drawing on lessons from field-deployed robots, we’ll explore how to design the data flywheel from day one, turning pilots into scalable, field-ready platforms that continuously learn and improve in production.
Designing robots for outdoor and extreme environments demands design considerations that can withstand the elements while delivering precise, consistent performance. This session explores how electric linear actuators and servo systems have evolved to meet the rigorous demands of field robotics—offering a robust alternative to traditional motion technologies in harsh conditions.
This session will help robotics engineers:
• Design motion systems that maintain performance and safety in the most challenging environments
• Select and validate components for reliability in field robotics, agriculture, defense, and energy sectors
• Apply best practices for cleanability, corrosion resistance, and mechanical resilience in outdoor robotic platforms
What if you could control a robot using natural language? In this session, we demonstrate how to enable natural language as a control layer for Physical AI, using AWS Strands with the Boston Dynamics Spot robot as a real-world example. We’ll walk through how user intent expressed in plain language is translated into structured plans, tool calls, and robot actions—bridging large language models with perception, navigation, and actuation.
Spend an hour connecting with robotics professionals in an environment designed for thoughtful conversation and mentorship. Featuring insights from Joyce Sidopoulos of MassRobotics and Mikell Taylor, Head of Robotics Strategy at GM, this breakfast offers opportunities to form new connections, deepen relationships, and champion increased female representation in robotics leadership. This is an add-on experience that must be included during registration for the event.
The robotics industry is at an inflection point of opportunity, but continued growth relies on more than just novelty and excitement about advanced technology. Real impact will depend on robots being worthy of trust and adoption into environments with incredibly high bars for safety, uptime, performance, and results. Mikell draws on her experience at startups developing technology for customers big and small, as well as experience in leadership roles at companies like General Motors and Amazon, to urge the industry to focus on areas of robotics that can unlock exponential growth while avoiding stagnation in "pilot purgatory."

As robotics technologies advance, securing intellectual property is more critical—and more complex—than ever. This panel will explore practical IP strategies that robotics innovators can use to safeguard their inventions, navigate global patent landscapes, and maintain competitive advantage in a fast-evolving field. Speakers will address the following key points:
Implementing processes to identify and protect novel technologies
Ensuring strong protection for AI innovations, including balancing patent and trade secret options
Developing a strategic patent portfolio—using both offensive and defensive strategies—to secure a competitive edge in the robotics market
Understanding the robotics patent landscape to guide product development, avoid infringement risks, and align IP strategy with technological roadmaps
Attracting investment and strengthening collaboration and licensing opportunities
Preparing for IP due diligence from both the investor/acquirer and target perspectives, with an emphasis on the unique considerations in the robotics sector.
The integration of AI into robotics has transformed how robots and autonomous systems perceive, learn, and act across industries: from intelligent bin-picking to collaborative tasks in modern factories. Now, with the rise of Generative AI, we're witnessing a fundamental shift in how robotics systems are built, trained, and deployed. This talk will discuss how to develop intelligent robotic systems using both traditional AI approaches and the latest advancements in robotics foundation models. Learn how to design end-to-end workflows that incorporate deep learning, reinforcement learning, transformer-based vision-language-action (VLA) models all within a single, simulation-driven platform. Highlights:
What does it take to move robots beyond programmed behaviors into truly natural interaction? As conversational and physical AI matures, the missing piece is not intelligence alone, but orchestration. In this talk, we introduce a modular, end-to-end framework that enables robots to perceive, reason, and take actions through a unified pipeline.
We demonstrate how robots can become context-aware collaborators by structuring the system into four stages: attention, perception, reflection, and action. We will explore how to leverage multimodal signals from the very first moment of user intent, how perception extends beyond speech into a richer environmental understanding, and how emerging agentic AI paradigms enable more adaptive decision-making. Without diving into implementation specifics, this session highlights the architectural principles that make scalable, real-time conversational robotics feasible on embedded platforms.
The winners of the third MassRobotics Form & Function Challenge will be announced. All participants will be exhibiting their prototypes on the showfloor. Learn more about the Form & Function Challenge here.
LLMs didn’t “arrive” because someone finally built the perfect transformer—they arrived because the world had already spent decades generating a training set at internet scale. In embodied AI, we don’t have that luxury. Humanoids are improving fast, but the hard part isn’t just the robot—it’s the missing experience: high-quality, task-specific, multimodal data about how work actually happens in real environments. Research teams are now building humanoid datasets via teleoperation and multimodal capture, but even “large” datasets are still measured in thousands of trajectories—not the web-scale fuel that made language models explode.
This session asks a practical question for every vertical: should you prioritize acquiring robots—or building the data factory, governance, and workforce trust needed to make robots reliable in your world? We’ll debate why the winners won’t just buy hardware—they’ll start collecting data now, design privacy-by-default pipelines, and treat models as strategic IP.
How do you transition from a successful prototype to a deployed fleet executing billions of autonomous trips in the real world? In this session, Teddy Ort, Senior Vice President of Robotics Software & AI at Symbotic, will offer a look under the hood at the engineering playbook required to seamlessly scale tens of thousands of robots.
While getting a single robot to work is an achievement, the true challenge of massive scale lies in taming the long tail of unpredictable edge cases. By embracing a cross-functional systems mindset and leveraging sophisticated perception and AI, robots can be empowered to dynamically adapt to changing physical environments. This talk will explore the practical realities of combining AI-driven optimization, large-scale simulation, advanced telemetry, and over-the-air updates to build resilient, world-class robotic solutions – and look at key developments we can expect in the years ahead.
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