As mobile robots are increasingly introduced into our daily lives, it grows ever more
imperative that these robots navigate with and among people in a safe and socially …

The increasing trend of studying the innate softness of robotic structures and amalgamating
it with the benefits of the extensive developments in the field of embodied intelligence has …

Learning from demonstration, or imitation learning, is the process of learning to act in an
environment from examples provided by a teacher. Inverse reinforcement learning (IRL) is a …

Intelligent systems are increasingly part of our everyday lives and have been integrated
seamlessly to the point where it is difficult to imagine a world without them. Physical …

We present an approach for mobile robots to learn to navigate in dynamic environments with
pedestrians via raw depth inputs, in a socially compliant manner. To achieve this, we adopt …

A major challenge to deploying robots widely is navigation in human-populated
environments, commonly referred to as social robot navigation. While the field of social …

The human-robot interaction community has developed many methods for robots to navigate
safely and socially alongside humans. However, experimental procedures to evaluate these …

As more robots are being deployed into human environments, a human-aware navigation
planner needs to handle multiple contexts that occur in indoor and outdoor environments. In …

The slogan “robots will pervade our environment” has become a reality. Drones and ground
robots are used for commercial purposes while semi-autonomous driving systems are …