1. Conclusion
- Reinforcement Learning and Control Systems: Multiple seminars focus on reinforcement learning (RL) and control systems. Topics such as “Balancing Reinforcement Learning with Model-Based Control”, “Combining Learning and Control in Cyber-Physical Systems”, and “Reinforcement Learning: Leveraging Deep Learning for Control” illustrate the growing importance of RL in the development of intelligent and adaptable robots.
- Human-Robot Interaction (HRI): HRI is a significant aspect, with seminars like “Towards Human-Friendly Robots”, “Get in Touch: Tactile Perception for Human-Robot Systems”, and “Towards Robust HRI: A Stochastic Optimization Approach”. This suggests a focus on creating robots that can safely and effectively interact with humans in various environments, from homes to workplaces.
- Robotic Manipulation and Movement: There’s a strong emphasis on enhancing the physical capabilities of robots. Seminars such as “Dynamic Legged LocoManipulation”, “Ballbots”, “Robot Motion Planning”, and “Mechanical Intelligence in Robotic Manipulation” suggest ongoing research to improve robot agility, dexterity, and mobility.
- Medical Applications: Seminars like “From Tool to Assistant: Towards Developing Adaptive Surgical Robots”, “Tentacle-like Continuum Robots for Minimally Invasive Surgery”, and “Uniting Robots and Ultrasound for Cardiac Repair” highlight the growing role of robotics in healthcare. This trend points to the potential of robotics in augmenting human capabilities in the medical field.
- Robotics in Industry: Industrial applications of robotics are evident in seminars such as “Robotics and Warehouse Automation at Berkshire Grey” and “University of Michigan’s Work Toward Autonomous Cars”. The trend underscores the transformative potential of robotics in various industries.
- Bias and Ethics in Robotics: The seminar on “Understanding and Mitigating Bias in Vision Systems” points towards an increasing focus on the ethical implications of AI and robotics, particularly in how systems are designed and how they interact with the world.
- Autonomous Systems: Autonomous navigation, perception, and control are also key areas, as seen in seminars such as “Robust Control Tools for Validating UAS Flight Controllers”, “Data-to-Decisions for Safe Autonomous Flight”, and “Future of Autonomous Vehicles”. These topics reflect the ongoing research on developing systems capable of operating with minimal human intervention.
- Career Perspectives: There are also seminars discussing the career trajectories in the field of robotics, such as “Career Options in Robotics: Academia vs Industry”. This trend highlights the growing opportunities and diverse pathways within the field.
2. List
Dynamic Legged LocoManipulation: Balancing Reinforcement Learning with Model-Based Control Towards Human-Friendly Robots: We need more Robots at Home Sort robots for humanity Making Large Dimensional Problems Small Again The Right Stuff: Representing Safety to Get Robots Out in the Real World Combining Learning and Control in Cyber-Physical Systems Get in Touch: Tactile Perception for Human-Robot Systems Robust Control Tools for Validating UAS Flight Controllers Composable Optimization for Robotic Motion Planning and Control Ballbots Insect Scale Multifunctional Micro-Aerial-Robots Powered by Soft Artificial Muscles Field Robotics and Automation at GeorgiaTech Lorraine: An overview Synthesizing & Guaranteeing Robot Behaviors Resilience of Autonomous Systems: A Step Beyond Adaptation Wearable Device Design and Biomechanical Research at Sandia National Labs Robot Motion Planning: Challenges and Opportunities for Increasing Robot Autonomy From Tool to Assistant: Towards Developing Adaptive Surgical Robots for the Operating Room Tentacle-like Continuum Robots for Minimally Invasive Surgery Learning to Walk and Navigate on Legged Robots Understanding and Mitigating Bias in Vision Systems Robotics and Warehouse Automation at Berkshire Grey Shedding Light on 3D Cameras Conflict-Aware Risk-Averse and Safe Reinforcement Learning: A Meta-Cognitive Learning Framework Towards Robust HRI: A Stochastic Optimization Approach Institute for Robotics and Intelligent Machines (IRIM) Industry Day Panel - Career Options in Robotics Career Options in Robotics: Academia vs Industry Robot Learning: Quo Vadis? Reinforcement Learning: Leveraging Deep Learning for Control From Coexistence to Collaboration: Towards Reliable Collaborative Robots Star Wars: The Rise of Robots and Intelligent Machines Cost of Transport, the Correct Metric for Mobile Systems? Navigation and Mapping for Robot Teams in Uncertain Environments Learning from the Field: Physically-based Deep Learning to Advance Robot Vision in Natural Environments Toward Dynamic, Tactical, Remote Robotic Ops: Active Perception and Other Key Technologies Robophysics: Physics Meets Robotics Uniting Robots and Ultrasound for Cardiac Repair Merging Humans and Machines to Assist Legged Locomotion Improving Multi-Fingered Robot Manipulation by Unifying Learning and Planning Considerations on Productivity, Performance and Ergonomics of Human-Centered Robots Deception, ExoNets, SmushWare, and Organic Data: New Frontiers In Neuro-Rehabilitation Safety of Autonomous Systems: Challenges in Coordination, Consistency, and Integration Doing for Our Robots What Nature Did for Us Mobile Data Collection in an Aquatic Environment: Cyber Maritime Cycles for Distributed Autonomy Robotic Manipulation: A Broadening View Human Teacher’s Perception of Teaching Methods for Machine Learning Algorithms Robots for Physical Interaction Factor Graphs for Flexible Inference in Robotics and Vision Robotic and Wearable Sensing Technologies for Movement Rehabilitation After Neurologic Injury Data-to-Decisions for Safe Autonomous Flight Accelerated Optimization in the PDE Framework Mechanical Intelligence in Robotic Manipulation: Towards Human-Level Dexterity in Robotic and Prosthetic Hands Mathematics and Learning for Agile and Dynamic Bipedal Locomotion Robotic Skins That Turn Inanimate Objects Into Multifunctional Robots Creating Robots That See Deep Learning to Learn Geometry and Mechanics of Feet and Fins Soft Miniature Mobile Robots Robots with Privacy Stipulations Physics-Based Manipulation With and Around People Preparing for the Coming Machine Revolution Computational Surgery: Helping Surgeons Avoid Mistakes with Better Robots Vision Based Navigation and Tracking with Small UAVs Developing Sensing and Robotics Technologies for Plant Phenomics The Evolution of Soft Robotics Cyber Human Interaction: A Control Systems/Robotics Perspective on Functional Electrical Stimulation Autonomous, Agile, Vision‐Controlled Drones: From Frame to Event Vision Stochastic Models in Robotics Snakes and Spiders, Robots and Geometry Examining the Slow, Noisy, and Complex Process of Technology Adoption Shared Control of Functional Electrical Stimulation and an Electric Motor in a Hybrid Neuroprosthesis Enhancing Human Capability with Intelligent Machine Teammates Persistent Environmental Monitoring: Robots That Seemingly Do Nothing Most of the Time Behind the Scenes: Decoding Intent from First Person Video Supersizing Self-Supervision: Learning Perception and Action Without Human Supervision Mixed-Integer Convex Formulations for Planning Nonlinear Dynamics in Complex Environments Future of Autonomous Vehicles Closing the Gap Between Machine Learning and Robotics Robust Agility and Safety for Dynamic Aerial Manipulation and Legged Locomotion Weakly Supervised Learning from Images and Video Beyond Geometric Path Planning: Paradigms and Algorithms for Modern Robotics Toward Robots that Understand People and Their Environment Challenges and Opportunities within Maritime Autonomy and the Naval Surface Warfare Center, Panama City Division Robot-assisted Surgery: A Platform for New Technologies and Algorithms University of Michigan’s Work Toward Autonomous Cars The Manipulation Action Grammar: A Key to Intelligent Robots Interactive Sports Analytics: Going Beyond Spreadsheets Multi-agent Collaboration in Shared Workspace Decision Making in Robots and Animals Stochastic Control: From Theory to Parallel Computation and Applications From (Inverse) Optimal Control to Joint (Cooperative) Sequential Manipulation and Motion Planning Towards an Integrated Architecture for Open-World Human-Robot Interactions Robotic and Haptic Manipulation Vision-Based Monitoring of Behavioral Disorders Multirobot Coordination: From High-level Specification to Correct Execution Words, Pictures, and Common Sense Multi‐Robot Systems for Monitoring and Controlling Large Scale Environments Risky Robotics: Developing a Practical Solution for Stochastic Optimal Control Humanoids of the Future The Robotic Scientist: Automating Discovery, from Cognitive Robotics to Computational Biology Efficient Lifelong Machine Learning