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Found 5 papers, 3 papers with code
Principles and Guidelines for Evaluating Social Robot Navigation Algorithms
A major challenge to deploying robots widely is navigation in human-populated environments, commonly referred to as social robot navigation.
Learning Human-to-Robot Handovers from Point Clouds
We propose the first framework to learn control policies for vision-based human-to-robot handovers, a critical task for human-robot interaction.
Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration
Our method co-optimizes a human policy and a robot policy in an interactive learning process: the human policy learns to generate diverse and plausible collaborative behaviors from demonstrations while the robot policy learns to assist by estimating the unobserved latent strategy of its human collaborator.
IGibson 1.0: a Simulation Environment for Interactive Tasks in Large Realistic Scenes
We present iGibson 1. 0, a novel simulation environment to develop robotic solutions for interactive tasks in large-scale realistic scenes.
Robot Navigation in Constrained Pedestrian Environments using Reinforcement Learning
Navigating fluently around pedestrians is a necessary capability for mobile robots deployed in human environments, such as buildings and homes.
