Northwestern Robotics
Educational and research videos from the Center for Robotics and Biosystems and the Master of Science in Robotics program at Northwestern University.
Cooperative Payload Estimation by a Team of Mocobots
Yipai Du, Daimon Robotics: Vision-based Tactile Sensing and Applications
Lou Raizin, CEO, Broadway in Chicago, The Chicago Cultural Stadium
Dexterity for Humanoids Webinar Panel
Neil Kelleher, Northwestern: Automation and the Future of Proteomics
Unidirectional Human-Robot-Human Physical Interaction for Gait Training, v2
Philip Dames, Temple: Developing and Deploying Situational Awareness in Autonomous Robotic Systems
Marc Miskin, UPenn: Microscopic Robots that Sense, Think, Act, and Compute
DexNex v0 at IROS 2024
Wendy Murray, ShirleyRyan AbilityLab, Advances in Biomedical Simulation of the Human Hand
Introducing the NSF Human AugmentatioN via Dexterity (HAND) Engineering Research Center
Dexterity Nexus (DexNex) v0, June 2024
Melisa Orta Martinez, CMU: Using Robotics to Help Students Ground Abstract Mathematical Concepts
Russ Tedrake, MIT and Toyota Research Institute: "Large Behavior Models for Dexterous Manipulation"
Omnid mocobots at MARS 2024
Elizabeth Farrell Helbling, Cornell: Taking Off: Autonomy for Insect-scale Robots
Steve Cousins, Stanford and Relay Robotics | Impact First: Advancing Robotics in the Real World
Self-Healing Distributed Swarm Formation Control Using Image Moments
Greg Reardon, UCSB: Wave-Mediated Haptics: Leveraging Wave Transport for Dynamic Tactile Feedback
Justin Yim, University of Illinois: Small Robots Traversing the World at Large
Autonomous 3D Position Control for a Safe Single Motor Micro Aerial Vehicle
Virtual Physical Coupling of Two Lower-Limb Exoskeletons
Dexterity: Machine Learning for Robot Manipulation and Dexterity
Carmel Majidi, Carnegie Mellon: Soft-Matter Engineering for Robotics and Wearables
Industrial Dexterity: Rate, Range, and Reliability
Dexterity: The Economic and Societal Impacts of the Coming Dexterity Revolution
Dexterity: Novel Materials for Robust Grasping and Manipulation