Human-aware robot motion planning with velocity constraints

被引:0
|
作者
Shi, Dongqing [1 ]
Collins, Emmanuel G., Jr. [1 ]
Donate, Arturo [3 ]
Liu, Xiuwen [3 ]
Goldiez, Brian [2 ]
Dunlap, Damion [4 ]
机构
[1] Florida State Univ, Tallahassee, FL 32310 USA
[2] Univ Cent Florida, Ind Engn, Orlando, FL 32826 USA
[3] Florida State Univ, Coll Sci, Tallahassee, FL 32306 USA
[4] Florida A&M Univ, Mech Engn, Tallahassee, FL 32306 USA
关键词
human aware motion planning; human response; human detection;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This paper addresses the issue of how high-speed robots may move among humans such that the robots complete their tasks efficiently while the humans in the environment feel safe and comfortable. It describes the Segway robotic platform used for this research and then discusses the three primary research areas needed to develop the human-aware motion planner First, it is necessary to conduct experiments with humans to develop human aware velocity constraints as a function of the distance of the robot from a human. Next, these velocity constraints must be used to plan the robot motion in real time. Finally, practical implementation of this motion planner requires the ability to robustly detect humans using the available vision sensors. The approach taken to each of these problems is described in this paper along with preliminary results.
引用
收藏
页码:490 / 497
页数:8
相关论文
共 50 条
  • [31] Human-aware motion reshaping using dynamical systems
    Saveriano, Matteo
    Hirt, Fabian
    Lee, Dongheui
    PATTERN RECOGNITION LETTERS, 2017, 99 : 96 - 104
  • [32] Inferring Context and Goals for Online Human-Aware Planning
    Kockemann, Uwe
    Pecora, Federico
    Karlsson, Lars
    2015 IEEE 27TH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2015), 2015, : 550 - 557
  • [33] Human-Aware Task Planning: An Application to Mobile Robots
    Cirillo, Marcello
    Karlsson, Lars
    Saffiotti, Alessandro
    ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2010, 1 (02)
  • [34] Planning in Inhabited Environments: Human-Aware Task Planning and Activity Recognition
    Cirillo M.
    KI - Künstliche Intelligenz, 2011, 25 (4) : 355 - 358
  • [35] Human-Aware Robot Navigation Based on Asymmetric Gaussian Model
    Zhao, Kunxu
    Zhou, Lei
    Hu, Zhengxi
    Cheng, Shilei
    Shi, Andong
    Sun, Yue
    Liu, Jingtai
    2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (IEEE-ROBIO 2021), 2021, : 322 - 327
  • [36] Challenging Human-Aware Robot Navigation with an Intelligent Human Simulation System
    Favier, Anthony
    Singamaneni, Phani Teja
    Alami, Rachid
    ADVANCES IN SOCIAL SIMULATION, ESSA 2023, 2024, : 505 - 518
  • [37] Tracking and Estimation Approach for Human-Aware Mobile Robot Navigation
    Marveldoss, Winston Doss
    Bandaru, Joshika
    Sebastian, Bijo
    IEEE SENSORS LETTERS, 2024, 8 (12)
  • [38] Adaptive Human-Aware Robot Navigation in Close Proximity to Humans
    Svenstrup, Mikael
    Hansen, Soren Tranberg
    Andersen, Hans Jorgen
    Bak, Thomas
    INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2011, 8 (02): : 7 - 21
  • [39] Human-Aware Waypoint Planner for Mobile Robot in Indoor Environments
    Yang, Sungwoo
    Kang, Sumin
    Kim, Myunghyun
    Kim, Donghan
    2022 SIXTH IEEE INTERNATIONAL CONFERENCE ON ROBOTIC COMPUTING, IRC, 2022, : 287 - 291
  • [40] Optimization of human-aware logistics and manufacturing systems: A survey on the Human-Aware Models
    Prunet, Thibault
    Absi, Nabil
    Borodin, Valeria
    Cattaruzza, Diego
    EURO JOURNAL ON TRANSPORTATION AND LOGISTICS, 2024, 13