Organizational Unit:
Healthcare Robotics Lab
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Autonomously learning to visually detect where manipulation will succeed
Autonomous Active Learning of Task-Relevant Features for Mobile Manipulation
RFID-Guided Robots for Pervasive Automation
Bio-inspired Assistive Robotics: Service Dogs as a Model for Human-Robot Interaction and Mobile Manipulation
ROS Commander (ROSCo): Behavior Creation for Home Robots
Perceiving Clutter and Surfaces for Object Placement in Indoor Environments
RF vision: RFID receive signal strength indicator (RSSI) images for sensor fusion and mobile manipulation
Robots for Humanity: A Case Study in Assistive Mobile Manipulation
The complex structure of simple devices: A survey of trajectories and forces that open doors and drawers
PPS-Tags: Physical, Perceptual and Semantic Tags for Autonomous Mobile Manipulation