Human interaction with a service robot: mobile-manipulator handing over an object to a human

By Arvin Agah, K. Tanie. 1997

Subfields: Reinforcement Learning

How researchers see this paper

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

In Reinforcement Learning

1. Anca Dragan
2. Siddhartha S. Srinivasa
3. David Hsu
4. Wee Sun Lee
5. Andras Gabor Kupcsik
6. Maya Cakmak
7. Sergey Levine
8. Dorsa Sadigh

Citations in the corpus

• Learning Dynamic Robot-to-Human Object Handover from Human Feedback (2016, background): “Early work on handover dates back to at least 1990s [1, 21].”
• Human preferences for robot-human hand-over configurations (2011, background): “studied with this approach, including motion control [1], [8], [13], grasp planning [12], [10] and grip forces to be applied during hand-over [15], [9].”
• Toward seamless human-robot handovers (2013, background): “A handover motion controller that adapts to unexpected arm movements of a simulated human is presented in Agah and Tanie (1997).”