5 citations · 5 across the 1 of their papers we have counts for
6 papers · 1 filter
Alternative Interfaces for Human-initiated Natural Language Communication and Robot-initiated Haptic Feedback: Towards Better Situational Awareness in Human-Robot Collaboration
Callum Bennie, Bridget Casey, Cecile Paris +9
This article presents an implementation of a natural-language speech interface and a haptic feedback interface that enables a human supervisor to provide guidance to, request infor…
Robotic Vision for Human-Robot Interaction and Collaboration: A Survey and Systematic Review
Nicole Robinson, Brendan Tidd, Dylan Campbell +2
Robotic vision for human-robot interaction and collaboration is a critical process for robots to collect and interpret detailed information related to human actions, goals, and pre…
Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics
Krishan Rana, Ming Xu, Brendan Tidd +2
Skill-based reinforcement learning (RL) has emerged as a promising strategy to leverage prior knowledge for accelerated robot learning. Skills are typically extracted from expert d…
Passing Through Narrow Gaps with Deep Reinforcement Learning
Brendan Tidd, Akansel Cosgun, Jurgen Leitner +1
The U.S. Defense Advanced Research Projects Agency (DARPA) Subterranean Challenge requires teams of robots to traverse difficult and diverse underground environments. Traversing sm…
Learning When to Switch: Composing Controllers to Traverse a Sequence of Terrain Artifacts
Brendan Tidd, Nicolas Hudson, Akansel Cosgun +1
Legged robots often use separate control policiesthat are highly engineered for traversing difficult terrain suchas stairs, gaps, and steps, where switching between policies isonly…
Guided Curriculum Learning for Walking Over Complex Terrain
Brendan Tidd, Nicolas Hudson, Akansel Cosgun
Reliable bipedal walking over complex terrain is a challenging problem, using a curriculum can help learning. Curriculum learning is the idea of starting with an achievable version…