3 papers
cs.RO2022
Learning to Detect Slip with Barometric Tactile Sensors and a Temporal Convolutional Neural Network
Abhinav Grover, Philippe Nadeau, Christopher Grebe +1
The ability to perceive object slip via tactile feedback enables humans to accomplish complex manipulation tasks including maintaining a stable grasp. Despite the utility of tactil…
cs.RO2021
Under Pressure: Learning to Detect Slip with Barometric Tactile Sensors
Abhinav Grover, Christopher Grebe, Philippe Nadeau +1
Despite the utility of tactile information, tactile sensors have yet to be widely deployed in industrial robotics settings. Part of the challenge lies in identifying slip and other…
cs.RO2020
Certifiably Optimal Monocular Hand-Eye Calibration
Emmett Wise, Matthew Giamou, Soroush Khoubyarian +2
Correct fusion of data from two sensors is not possible without an accurate estimate of their relative pose, which can be determined through the process of extrinsic calibration. W…