Our research focuses on the following areas and topics.
We work on the design, analysis, modelling, and development of a new family of compliant, under-actuated robotic and prosthetic arms, grippers, and hands.
We work on the design, analysis, modelling, and development of wearable, soft robotic exoskeleton gloves for rehabilitation and human augmentation.
We formulate advanced learning schemes to create muscle machine interfaces that allow for an intuitive and simplified control of robotic and bionic devices.
We develop human to robot skill transfer methodologies using learn by demonstration, gamification, and crowd-sourcing based approaches.
We develop methodologies for robust grasping and dexterous manipulation that allow for the execution of dexterous tasks in dynamic and unstructured environments.
We work on the evaluation and bechmarking of the dexterity of humans and robots.
We work on the development of real-time teleoperation and telemanipulation methodologies (including AR and VR based methodologies) for robot arm hand systems and intelligent robotic platforms.
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An Open-Source Dexterity Test
Adaptive Exoskeleton Gloves
Flexible Cable Manipulation Gripper
Ultra Fast Aerial Grasping & Perching
Affordances Based Telemanipulation
The NDX-A Adaptive Robot Hand