1 code implementation • 26 May 2021 • Mike Lambeta, Huazhe Xu, Jingwei Xu, Po-Wei Chou, Shaoxiong Wang, Trevor Darrell, Roberto Calandra
With the increased availability of rich tactile sensors, there is an equally proportional need for open-source and integrated software capable of efficiently and effectively processing raw touch measurements into high-level signals that can be used for control and decision-making.
1 code implementation • 15 Dec 2020 • Shaoxiong Wang, Mike Lambeta, Po-Wei Chou, Roberto Calandra
We believe that TACTO is a step towards the widespread adoption of touch sensing in robotic applications, and to enable machine learning practitioners interested in multi-modal learning and control.
1 code implementation • 29 May 2020 • Mike Lambeta, Po-Wei Chou, Stephen Tian, Brian Yang, Benjamin Maloon, Victoria Rose Most, Dave Stroud, Raymond Santos, Ahmad Byagowi, Gregg Kammerer, Dinesh Jayaraman, Roberto Calandra
Despite decades of research, general purpose in-hand manipulation remains one of the unsolved challenges of robotics.
no code implementations • ICML 2017 • Po-Wei Chou, Daniel Maturana, Sebastian Scherer
Recently, reinforcement learning with deep neural networks has achieved great success in challenging continuous control problems such as 3D locomotion and robotic manipulation.