First-person tele-operation of a humanoid robot

By Lars Fritsche, Felix Unverzag, Jan Peters, Roberto Calandra. 2015

44 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Social Psychology, Human-Computer Interaction

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Pieter Abbeel
2. Sergey Levine
3. Ken Goldberg
4. Tianhao Zhang
5. Zoe McCarthy
6. Daniela Rus
7. Dennis Lee
8. Tairan He

In Social Psychology

1. Pieter Abbeel
2. Zoe McCarthy

In Human-Computer Interaction

1. Ken Goldberg
2. Pieter Abbeel

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 a small humanoid robot called iCub [40], for simulated dexterous manipulation [41], and for communicating motion intent [42].”
• Baxter's Homunculus: Virtual Reality Spaces for Teleoperation in Manufacturing (2017, methodology): “To provide a complete measurement of the states H U k the body movements can be captured using hand controllers, Kinect sensors, Vicon systems, or robotic arm systems [10][11][12][13].”
• Open-TeleVision: Teleoperation with Immersive Active Visual Feedback (2024, background): “Various teleoperation approaches have been studied using VR devices [3, 2], RGB cameras [4, 5, 6], wearable gloves [7, 8, 9], and customized hardwares [10, 11].”
• 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.”