by Caleb Escobedo, Kandai Watanabe, and Ander Aranburu, on April 22, 2020
Robots have been steadily transitioning into human-populated environments and replacing physical separation from humans with complex perception and control software. However, current safety–oriented solutions are computationally expensive, prone to occlusion, and require a significant setup overhead. Robots are in need of compact, self-contained sensing of nearby space to guarantee safety at all times, improve perception, and afford rich interactions with their environment and people. In this work, we present the first novel prototype of a flexible artificial skin for collaborative robotics equipped with an inertial measurement unit (IMU) and proximity sensing.
by Anuj Pasricha, on April 01, 2020
Humans are highly dexterous in their interactions with real-world objects, engaging naturally in multiple forms of manipulation that involve grasping, pushing, poking, rolling, and tossing objects. Robots, on the other hand, tend to primarily rely on prehensile (grasping) manipulation, which is limiting the breadth of applicability of robot technologies in the real world. In order for robotic manipulation to approach human levels of dexterity, robots can benefit from engaging in non-prehensile manipulation (NPM).