Generalizing kinematic skill learning to energy efficient dynamic motion planning using optimized Dynamic Movement Primitives.
Xu, T.; Singh, S.; and Chang, Q.
Robotics and Computer-Integrated Manufacturing, 94: 102983. 2025.
link
bibtex
@article{xu2025generalizing,
title={Generalizing kinematic skill learning to energy efficient dynamic motion planning using optimized Dynamic Movement Primitives},
author={Xu, Tian and Singh, Siddharth and Chang, Qing},
journal={Robotics and Computer-Integrated Manufacturing},
volume={94},
pages={102983},
year={2025},
publisher={Pergamon}
}
Hybrid Robot Learning for Automatic Robot Motion Planning in Manufacturing.
Singh, S.; Yu, T.; Chang, Q.; Karigiannis, J.; and Liu, S.
arXiv preprint arXiv:2502.19340. 2025.
link
bibtex
@article{singh2025hybrid,
title={Hybrid Robot Learning for Automatic Robot Motion Planning in Manufacturing},
author={Singh, Siddharth and Yu, Tian and Chang, Qing and Karigiannis, John and Liu, Shaopeng},
journal={arXiv preprint arXiv:2502.19340},
year={2025}
}
Hierarchical Learning for Robotic Assembly Tasks Leveraging Learning from Demonstration.
Singh, S.; Chang, Q.; and Yu, T.
Advanced Robotics Research, 1(1): 2400024. 2025.
link
bibtex
@article{singh2025hierarchical,
title={Hierarchical Learning for Robotic Assembly Tasks Leveraging Learning from Demonstration},
author={Singh, Siddharth and Chang, Qing and Yu, Tian},
journal={Advanced Robotics Research},
volume={1},
number={1},
pages={2400024},
year={2025}
}
Whole Body Planning of Mobile Manipulators Leveraging Lie Theory based Optimization.
Smith, W.; Singh, S.; Rudy, J.; and Guan, Y.
In
RSS 2025 Workshop: Mobile Manipulation: Emerging Opportunities $\{$\X$\}$ Contemporary Challenges, 2025.
link
bibtex
@inproceedings{smith2025whole,
title={Whole Body Planning of Mobile Manipulators Leveraging Lie Theory based Optimization},
author={Smith, William and Singh, Siddharth and Rudy, Julia and Guan, Yuxiang},
booktitle={RSS 2025 Workshop: Mobile Manipulation: Emerging Opportunities $\{$$\backslash$\&$\}$ Contemporary Challenges},
year={2025}
}