Robot Motion Planning with Human-Like Motion Patterns based on Human Arm Movement Primitive Chains*

Mapping Intimacies ◽

10.1109/icra48506.2021.9560921 ◽

2021 ◽

Author(s):

Shiqiu Gong ◽

Jing Zhao ◽

Biyun Xie

Keyword(s):

Motion Planning ◽

Arm Movement ◽

Robot Motion ◽

Robot Motion Planning ◽

Motion Patterns ◽

Human Arm

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Acquisition of obstacle motion patterns to improve mobile robot motion planning

Advanced Robotics ◽

10.1163/156855397x00461 ◽

1997 ◽

Vol 12 (5) ◽

pp. 565-578 ◽

Cited By ~ 2

Author(s):

Eckhard Kruse ◽

Ralf Gutsche ◽

Friedrich Wahl

Keyword(s):

Mobile Robot ◽

Motion Planning ◽

Robot Motion ◽

Robot Motion Planning ◽

Motion Patterns

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Acquisition of statistical motion patterns in dynamic environments and their application to mobile robot motion planning

Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robot and Systems. Innovative Robotics for Real-World Applications. IROS '97 ◽

10.1109/iros.1997.655089 ◽

2002 ◽

Cited By ~ 18

Author(s):

E. Kruse ◽

R. Gutsche ◽

F.M. Wahl

Keyword(s):

Mobile Robot ◽

Motion Planning ◽

Dynamic Environments ◽

Robot Motion ◽

Robot Motion Planning ◽

Motion Patterns

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Social Robot Motion Planning using Contextual Distances Observed from 3D Human Motion Tracking

Expert Systems with Applications ◽

10.1016/j.eswa.2021.115515 ◽

2021 ◽

pp. 115515

Author(s):

Abhinav Malviya ◽

Rahul Kala

Keyword(s):

Motion Planning ◽

Motion Tracking ◽

Human Motion ◽

Social Robot ◽

Robot Motion ◽

Robot Motion Planning ◽

Human Motion Tracking

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Human Aware Robot Motion Planning using RRT Algorithm in Industry4.0 Environment

2021 IEEE International Conference on Intelligence and Safety for Robotics (ISR) ◽

10.1109/isr50024.2021.9419511 ◽

2021 ◽

Author(s):

Aiswarya L ◽

Abhra Roy Chowdhury

Keyword(s):

Motion Planning ◽

Robot Motion ◽

Robot Motion Planning

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A modified Hybrid Reciprocal Velocity Obstacles approach for multi-robot motion planning without communication

2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) ◽

10.1109/iros45743.2020.9341377 ◽

2020 ◽

Author(s):

Maxime Sainte Catherine ◽

Eric Lucet

Keyword(s):

Motion Planning ◽

Robot Motion ◽

Robot Motion Planning ◽

Multi Robot

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Optimal Robot Motion Planning in Constrained Workspaces Using Reinforcement Learning

2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) ◽

10.1109/iros45743.2020.9341148 ◽

2020 ◽

Author(s):

Panagiotis Rousseas ◽

Charalampos P. Bechlioulis ◽

Kostas J. Kyriakopoulos

Keyword(s):

Reinforcement Learning ◽

Motion Planning ◽

Robot Motion ◽

Robot Motion Planning

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Learning Interaction-Aware Trajectory Predictions for Decentralized Multi-Robot Motion Planning in Dynamic Environments

IEEE Robotics and Automation Letters ◽

10.1109/lra.2021.3061073 ◽

2021 ◽

Vol 6 (2) ◽

pp. 2256-2263

Author(s):

Hai Zhu ◽

Francisco Martinez Claramunt ◽

Bruno Brito ◽

Javier Alonso-Mora

Keyword(s):

Motion Planning ◽

Dynamic Environments ◽

Robot Motion ◽

Robot Motion Planning ◽

Multi Robot

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T-vectors make autonomous mobile robot motion planning and self-referencing more efficient

Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'94) ◽

10.1109/iros.1994.407421 ◽

2002 ◽

Cited By ~ 1

Author(s):

J.A. Janet ◽

R.C. Luo ◽

M.G. Kay

Keyword(s):

Mobile Robot ◽

Motion Planning ◽

Robot Motion ◽

Robot Motion Planning ◽

Autonomous Mobile Robot

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NAO humanoid robot motion planning based on its own kinematics

2014 19th International Conference on Methods and Models in Automation and Robotics (MMAR) ◽

10.1109/mmar.2014.6957366 ◽

2014 ◽

Author(s):

Walaa Gouda ◽

Walid Gomaa

Keyword(s):

Motion Planning ◽

Humanoid Robot ◽

Robot Motion ◽

Robot Motion Planning

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Parameterizable and Jerk-Limited Trajectories with Blending for Robot Motion Planning and Spherical Cartesian Waypoints

10.1109/icra48506.2021.9561601 ◽

2021 ◽

Author(s):

Jianjie Lin ◽

Markus Rickert ◽

Alois Knoll

Keyword(s):

Motion Planning ◽

Robot Motion ◽

Robot Motion Planning

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