Safe and efficient navigation through human crowds is an essential capability for mobile
robots. Previous work on robot crowd navigation assumes that the dynamics of all agents …

Automated behavior analysis (ABA) strategies are being researched at a rapid rate to detect
an array of behaviors across a range of species. There is growing optimism that soon …

To achieve high-levels of autonomy, modern robots require the ability to detect and recover
from anomalies and failures with minimal human supervision. Multi-modal sensor signals …

Persons with visual impairments (PwVI) have difficulties understanding and navigating
spaces around them. Current wayfinding technologies either focus solely on navigation or …

Based on the recent advancements in representation learning, we propose a novel pipeline
for task-oriented voice-controlled robots with raw sensor inputs. Previous methods rely on a …

Applying reinforcement learning (RL) methods on robots typically involves training a policy
in simulation and deploying it on a robot in the real world. Because of the model mismatch …

Robotic devices have several applications in commercial and defense IoT establishments.
However, robots may not always have the capacity to run complex AI based applications …

Based on the recent advancements in representation learning, we propose a novel
framework for command-following robots with raw sensor inputs. Previous RL-based …

Robots are becoming increasingly capable of performing tasks in isolation. However, how to
operate them in human environments remains an open challenge. Subtle and highly …