2 citations · 3 across the 3 of their papers we have counts for
4 papers
SHELS: Exclusive Feature Sets for Novelty Detection and Continual Learning Without Class Boundaries
Meghna Gummadi, David Kent, Jorge A. Mendez +1
While deep neural networks (DNNs) have achieved impressive classification performance in closed-world learning scenarios, they typically fail to generalize to unseen categories in…
Anticipatory Human-Robot Collaboration via Multi-Objective Trajectory Optimization
Abhinav Jain, Daphne Chen, Dhruva Bansal +6
We address the problem of adapting robot trajectories to improve safety, comfort, and efficiency in human-robot collaborative tasks. To this end, we propose CoMOTO, a trajectory op…
Human-Centric Active Perception for Autonomous Observation
David Kent, Sonia Chernova
As robot autonomy improves, robots are increasingly being considered in the role of autonomous observation systems -- free-flying cameras capable of actively tracking human activit…
Taking Recoveries to Task: Recovery-Driven Development for Recipe-based Robot Tasks
Siddhartha Banerjee, Angel Daruna, David Kent +9
Robot task execution when situated in real-world environments is fragile. As such, robot architectures must rely on robust error recovery, adding non-trivial complexity to highly-c…