Anticipating Human Behavior for Safe Navigation and Efficient Collaborative Manipulation with Mobile Service Robots

Fuente: arXiv
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Hauptverfasser: Bultmann, Simon, Memmesheimer, Raphael, Nogga, Jan, Hau, Julian, Behnke, Sven
Format: Preprint
Veröffentlicht: 2024
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author Bultmann, Simon
Memmesheimer, Raphael
Nogga, Jan
Hau, Julian
Behnke, Sven
author_facet Bultmann, Simon
Memmesheimer, Raphael
Nogga, Jan
Hau, Julian
Behnke, Sven
contents The anticipation of human behavior is a crucial capability for robots to interact with humans safely and efficiently. We employ a smart edge sensor network to provide global observations, future predictions, and goal information to integrate anticipatory behavior for the control of a mobile manipulation robot. We present approaches to anticipate human behavior in the context of safe navigation and collaborative mobile manipulation. First, we anticipate human motion by employing projections of predicted human trajectories from smart edge sensor observations into the planning map of a mobile robot. Second, we anticipate human intentions in a collaborative furniture-carrying task to achieve a given room layout. Our experiments indicate that anticipating human behavior allows for safer navigation and more efficient collaboration. Finally, we showcase an integrated robotic system that anticipates human behavior while collaborating with an operator to achieve a target room layout, including the placement of tables and chairs.
format Preprint
id arxiv_https___arxiv_org_abs_2410_05015
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Anticipating Human Behavior for Safe Navigation and Efficient Collaborative Manipulation with Mobile Service Robots
Bultmann, Simon
Memmesheimer, Raphael
Nogga, Jan
Hau, Julian
Behnke, Sven
Robotics
The anticipation of human behavior is a crucial capability for robots to interact with humans safely and efficiently. We employ a smart edge sensor network to provide global observations, future predictions, and goal information to integrate anticipatory behavior for the control of a mobile manipulation robot. We present approaches to anticipate human behavior in the context of safe navigation and collaborative mobile manipulation. First, we anticipate human motion by employing projections of predicted human trajectories from smart edge sensor observations into the planning map of a mobile robot. Second, we anticipate human intentions in a collaborative furniture-carrying task to achieve a given room layout. Our experiments indicate that anticipating human behavior allows for safer navigation and more efficient collaboration. Finally, we showcase an integrated robotic system that anticipates human behavior while collaborating with an operator to achieve a target room layout, including the placement of tables and chairs.
title Anticipating Human Behavior for Safe Navigation and Efficient Collaborative Manipulation with Mobile Service Robots
topic Robotics
url https://arxiv.org/abs/2410.05015