Lab-to-Production Workshop: Toward Industrial-Grade Perception and Manipulation
Lab-to-Production: Toward Industrial-Grade Perception and Manipulation
In conjunction with
Robotics: Science and Systems 2026
July 13-17, 2026
University of Technology Sydney
Sydney, Australia
Addresses the gap between robotics research and industrial deployment by examining how to translate advances in autonomous perception and manipulation from academic labs into factory-ready systems. Discusses achieving industrial levels of accuracy, speed, and robustness while maintaining the adaptability that modern AI-driven approaches promise.
More workshops at Robotics: Science and Systems 2026
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- 4th Workshop on Dexterous Manipulation: Scalable Learning for Human-Level Skills — Focuses on scaling dexterous manipulation by leveraging advances in robotic hand hardware, large-scale video datasets,...
- Diffusion for Robot Learning — Explores how diffusion models can be applied to robot learning for both data generation and...
- Embodied4Arts: Robots as Creative Partners for Artistic, Expressive, and Craft Tasks — Explores how robots can learn to perform creative tasks like painting, music, and crafting by...
- Reason, Plan, Act: A Hands-On Tutorial on Embodied Agentic AI — Teaches participants how to build autonomous AI systems that combine large language models with robotics,...
- Failure Is Not the End: Towards Open-World Failure Recovery for Robots — Addresses how robots can detect, diagnose, and recover from failures when operating in open-world environments...
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- Post-training for Robotics Foundation Models — Examines how robotics foundation models can improve beyond initial pretraining by collecting their own interaction...
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- Reinforcement Learning for Vision-Language-Action Models (RL4VLA) — Addresses how reinforcement learning can improve Vision-Language-Action models for robotics by moving beyond imitation learning...
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- Sampling-Based Optimization for Robotics — Examines sampling-based techniques in robotics, exploring how methods from reinforcement learning and predictive control can...
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- Closing the Sim2Real Gap: Progress and Challenges — Addresses the research challenge of bridging the gap between simulation and real-world robotics implementation. Examines...
- Bridging AI and Robotics: Towards Safer and Smarter Surgery — Explores the integration of AI and robotics in surgical applications, focusing on intelligent and autonomous...
- Tactile Sensing for Robotic Foundation Models — Explores how tactile sensing can be integrated into robotic foundation models at scale, addressing hardware...
- Embodied Intelligence Meets Foundation Models: Tactile Sensing and Soft Manipulation — Focuses on integrating tactile sensing, soft robotics, and foundation models to advance dexterous object manipulation...
- Trustworthy Embodied Foundation Models: Safety by Design versus Safety by Practice — Addresses safety challenges of deploying foundation models in robotic systems, exploring safety by design through...
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- Beyond the Lab: Rethinking Methods for Human Behavior Monitoring and Modeling in In-the-Wild Human-Robot Interaction — Examines methodologies for observing and understanding human behavior in real-world robotic deployments, addressing the challenge...