5 citations · 10 across the 6 of their papers we have counts for
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From the DESK (Dexterous Surgical Skill) to the Battlefield -- A Robotics Exploratory Study
Glebys T. Gonzalez, Upinder Kaur, Masudur Rahma +6
Short response time is critical for future military medical operations in austere settings or remote areas. Such effective patient care at the point of injury can greatly benefit f…
Pose Imitation Constraints for Collaborative Robots
Glebys Gonzalez, Juan Wachs
Achieving human-like motion in robots has been a fundamental goal in many areas of robotics research. Inverse kinematic (IK) solvers have been explored as a solution to provide kin…
Extending Policy from One-Shot Learning through Coaching
Mythra V. Balakuntala, Vishnunandan L. N. Venkatesh, Jyothsna Padmakumar Bindu +2
Humans generally teach their fellow collaborators to perform tasks through a small number of demonstrations. The learnt task is corrected or extended to meet specific task goals by…
DESK: A Robotic Activity Dataset for Dexterous Surgical Skills Transfer to Medical Robots
Naveen Madapana, Md Masudur Rahman, Natalia Sanchez-Tamayo +10
Datasets are an essential component for training effective machine learning models. In particular, surgical robotic datasets have been key to many advances in semi-autonomous surge…
Spiking Neural Networks for Early Prediction in Human Robot Collaboration
Tian Zhou, Juan P. Wachs
This paper introduces the Turn-Taking Spiking Neural Network (TTSNet), which is a cognitive model to perform early turn-taking prediction about human or agent's intentions. The TTS…
Early Turn-taking Prediction with Spiking Neural Networks for Human Robot Collaboration
Tian Zhou, Juan P. Wachs
Turn-taking is essential to the structure of human teamwork. Humans are typically aware of team members' intention to keep or relinquish their turn before a turn switch, where the…