Teleoperation of a humanoid robot using full-body motion capture , example movements , and machine learning
By C. Stanton, A. Bogdanovych, Edward Ratanasena. 2012
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Sergey Levine
- Pieter Abbeel
- Chelsea Finn
- Tianhao Zhang
- Abhinav Kumar Gupta
- Yoshua Bengio
- Abhishek Gupta
- Tianhe Yu
Citations in the corpus
- Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation (2017, background): “In a non-learning setting, VR teleoperation has been recently explored for controlling humanoid robots [40], [41], [42], for simulated dexterous manipulation [43], and for communicating motion intent [44].”
- First-person tele-operation of a humanoid robot (2015, background): “This is also true when we tele-operate the hands of a robot, for example in [8] where sensor gloves are used to control the hand of the iCub robot.”
- OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning (2024, methodology): “To control a full-sized humanoid, many interfaces such as exoskeleton [31], MoCap [32, 33], and VR [34, 35] are proposed.”