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  2025 (3)
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.
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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.
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Hierarchical Learning for Robotic Assembly Tasks Leveraging Learning from Demonstration. Singh, S.; Chang, Q.; and Yu, T. Advanced Robotics Research,202400024. 2025.
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  2024 (2)
Collaborative motion planning for multi-manipulator systems through Reinforcement Learning and Dynamic Movement Primitives. Singh, S.; Xu, T.; and Chang, Q. arXiv preprint arXiv:2410.00757. 2024.
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Lie Theory Based Optimization for Unified State Planning of Mobile Manipulators. Smith, W.; Singh, S.; Rudy, J.; and Guan, Y. arXiv preprint arXiv:2410.15443. 2024.
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  2023 (3)
A Multistage Framework for Autonomous Robotic Mapping with Targeted Metrics. Smith, W.; Qin, Y.; Singh, S.; Burke, H.; Furukawa, T.; and Dissanayake, G. Robotics, 12(2): 39. 2023.
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Design of a photometric stereo-based depth camera for robotic 3D reconstruction. Smith, K.; Lothrop, H.; Singh, S.; and Furukawa, T. In 2022 Workshop on Electronics Communication Engineering, volume 12720, pages 159–168, 2023. SPIE
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Photometric Stereo of Surfaces with Heterogeneous Reflection using Adaptive Diffuse-Specular Segregation. Singh, S.; and Furukawa, T. . 2023.
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  2022 (1)
Photometric stereo enhanced light sectioning measurement for microtexture road profiling. Singh, S.; Smith, K.; and Furukawa, T. In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, volume 86281, pages V007T07A056, 2022. American Society of Mechanical Engineers
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