Research using cuRobo

cuRobo’s modules can be leveraged for research projects beyond motion generation. We keep track of research papers and projects that have leveraged cuRobo in this page. For the very latest work leveraging cuRobo, see here Google Scholar.

Research works that study computational aspects of robotics leveraging cuRobo’s implementations:

• VaPr: Variable-Precision Tensors to Accelerate Robot Motion Planning, Yu-Shun Hsiao, Siva Kumar Sastry Hari, Balakumar Sundaralingam, Jason Yik, Thierry Tambe, Charbel Sakr, Stephen W. Keckler, Vijay Janapa Reddi. IROS 2023.

Research works that leverage cuRobo’s model predictive controller (MPPI):

• RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control, Zhenggang Tang, Balakumar Sundaralingam, Jonathan Tremblay, Bowen Wen, Ye Yuan, Stephen Tyree, Charles Loop, Alexander Schwing, Stan Birchfield. ICRA 2023.

• AnyTeleop: A General Vision-Based Dexterous Robot Arm-Hand Teleoperation System, Yuzhe Qin, Wei Yang, Binghao Huang, Karl Van Wyk, Hao Su, Xiaolong Wang, Yu-Wei Chao, Dieter Fox. RSS 2023.