Stable Heteroclinic Channel Networks for Physical Human-Humanoid Robot Collaboration

被引:3
作者
Brecelj, Tilen [1 ]
Petric, Tadej [1 ]
机构
[1] Jozef Stefan Inst, Dept Automat Biocybernet & Robot, Jamova Cesta 39, Ljubljana 1000, Slovenia
关键词
human-robot interaction; collaborative robots; phase state system; stable heteroclinic channel networks; STABILITY; DYNAMICS; CONTACT; BALANCE; DESIGN;
D O I
10.3390/s23031396
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Human-robot collaboration is one of the most challenging fields in robotics, as robots must understand human intentions and suitably cooperate with them in the given circumstances. But although this is one of the most investigated research areas in robotics, it is still in its infancy. In this paper, human-robot collaboration is addressed by applying a phase state system, guided by stable heteroclinic channel networks, to a humanoid robot. The base mathematical model is first defined and illustrated on a simple three-state system. Further on, an eight-state system is applied to a humanoid robot to guide it and make it perform different movements according to the forces exerted on its grippers. The movements presented in this paper are squatting, standing up, and walking forwards and backward, while the motion velocity depends on the magnitude of the applied forces. The method presented in this paper proves to be a suitable way of controlling robots by means of physical human-robot interaction. As the phase state system and the robot movements can both be further extended to make the robot execute many other tasks, the proposed method seems to provide a promising way for further investigation and realization of physical human-robot interaction.
引用
收藏
页数:18
相关论文
共 65 条
[1]   Simultaneously learning actions and goals from demonstration [J].
Akgun, Baris ;
Thomaz, Andrea .
AUTONOMOUS ROBOTS, 2016, 40 (02) :211-227
[2]  
Audren H, 2016, IEEE-RAS INT C HUMAN, P1037, DOI 10.1109/HUMANOIDS.2016.7803399
[3]  
Audren H, 2014, IEEE INT C INT ROBOT, P4030, DOI 10.1109/IROS.2014.6943129
[4]  
Baraglia J, 2016, ACMIEEE INT CONF HUM, P67, DOI 10.1109/HRI.2016.7451735
[5]  
Baskoro AS, 2016, 2016 INTERNATIONAL ELECTRONICS SYMPOSIUM (IES), P335, DOI 10.1109/ELECSYM.2016.7861027
[6]   Unwilling versus unable: Infants' understanding of intentional action [J].
Behne, T ;
Carpenter, M ;
Call, J ;
Tomasello, M .
DEVELOPMENTAL PSYCHOLOGY, 2005, 41 (02) :328-337
[7]  
Brecelj T., 2021, P 8 INT C ELECT ELEC, P591
[8]  
Brecelj T, 2021, MECH MACH SCI, V102, P135, DOI 10.1007/978-3-030-75259-0_15
[9]   Zero Moment Line-Universal Stability Parameter for Multi-Contact Systems in Three Dimensions [J].
Brecelj, Tilen ;
Petric, Tadej .
SENSORS, 2022, 22 (15)
[10]   Deep representation learning for human motion prediction and classification [J].
Butepage, Judith ;
Black, Michael J. ;
Kragic, Danica ;
Kjellstrom, Hedvig .
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017), 2017, :1591-1599