Social robot navigation

Core Challenges in Navigation in Human Environments

Jean Oh, Senior Systems Scientist, Robotics Institute, Carnegie Mellon University

Mar 31, 16:30 - 17:15

KAUST

Featured Sessions

RobotoKAUST Social robot navigation motion planning motion prediction human-robot interactions

For more information please visit the website

Social Decision Making for Robot Navigation

Shinkyu Park, Assistant Professor, Electrical and Computer Engineering

Oct 31, 12:00 - 13:00

KAUST

Social robot navigation

Robot navigation typically comprises of decision making at two different levels - global planning to compute a viable trajectory to the robot's destination and strategic (local) interaction to elicit cooperation and resolve any conflicts with other robots/pedestrians that would arise while navigating along the trajectory. Robot navigation in crowded environments is particularly challenging as the robot needs to exhibit navigation behaviors that are conceived as socially compliant by human pedestrians or vehicles they maneuver at both of the levels. In this presentation, I will introduce some of relevant works from my research group.