Agriculture
The TangleHold Gripper
A novel robotic gripper that uses physical entanglement to gently and reliably automate the handling of soft, flexible, or tangled agricultural materials.
Field of Expertise
Handling the hardest picking problems as CEO and Co-founder of The Weird Gripper Company. Reader in Engineer at King's College London.
Expertise
Research engineer and scientist with over 20 years' experience in robotic hardware and software development and machine learning. Focus on topics in imitation learning, behaviour transfer, stochastic optimal control and impedance control. Involved in development of sensors and actuators, including textile-based wearable sensing and soft robotic devices. Applied research to many diverse industries, including agriculture/horticulture, heavy industry, automotive.Keywords: Imitation learning, behaviour transfer, supervised learning, reinforcement learning, dimensionality reduction, forward/inverse optimal control, stochastic differential equations, variable impedance (stiffness and damping) actuation and control.