Telepresence Robot
Telepresence robots aim to enable remote users to interact with distant environments as if physically present, primarily focusing on improving user experience and task performance. Current research emphasizes enhancing control interfaces (e.g., foot controllers, balance boards, wearable IMUs), improving visual and haptic feedback through techniques like volumetric data fusion and shared autonomy navigation algorithms, and exploring the role of social interaction and conversational capabilities. These advancements hold significant potential for applications in healthcare, remote work, education, and hazardous environments, improving accessibility and efficiency across various sectors.
Papers
HI-DWA: Human-Influenced Dynamic Window Approach for Shared Control of a Telepresence Robot
Juho Kalliokoski, Basak Sakcak, Markku Suomalainen, Katherine J. Mimnaugh, Alexis P. Chambers, Timo Ojala, Steven M. LaValle
A Study of Preference and Comfort for Users Immersed in a Telepresence Robot
Adhi Widagdo, Markku Suomalainen, Basak Sakcak, Katherine J. Mimnaugh, Juho Kalliokoski, Alexis P. Chambers, Timo Ojala, Steven M. LaValle
Robotic Telekinesis: Learning a Robotic Hand Imitator by Watching Humans on Youtube
Aravind Sivakumar, Kenneth Shaw, Deepak Pathak
OG-SGG: Ontology-Guided Scene Graph Generation. A Case Study in Transfer Learning for Telepresence Robotics
Fernando Amodeo, Fernando Caballero, Natalia Díaz-Rodríguez, Luis Merino