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Recent interest in mobile manipulation has resulted in a wide range of new robot designs.
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D. Honerkamp, T. Welschehold, and A. Valada, “N
2023
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2023
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2023
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2024
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D. Honerkamp, T. Welschehold, and A. Valada, “Learning kinematic feasibility for mobile manipulation through deep reinforcement learning,”
2021
Cited alongside, same era.
J. Xu, T. Chen, L. Zlokapa, M. Foshey, W. Matusik, S. Sueda, and P. Agrawal, “An end-to-end differentiable framework for contact-aware robot design,”
2021
Cited alongside, same era.
A. Gupta, S. Savarese, S. Ganguli, and L. Fei-Fei, “Embodied intelligence via learning and evolution,”
2021
Cited alongside, same era.
L. Jackson, C. Walters, S. Eckersley, P. Senior, and S. Hadfield, “Orchid: optimisation of robotic control and hardware in design using reinforcement learning,” in
2021
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S. Sodhani, A. Zhang, and J. Pineau, “Multi-task reinforcement learning with context-based representations,” in
2021
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T. Dinev, C. Mastalli, V. Ivan, S. Tonneau, and S. Vijayakumar, “A versatile co-design approach for dynamic legged robots,” in
2022
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2022
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D. Honerkamp, M. Buchner, F. Despinoy, T. Welschehold, and A. Valada, “Language-grounded dynamic scene graphs for interactive object search with mobile manipulation,”
2024
Closest in time.
J. Wu, W. Chong, R. Holmberg, A. Prasad, Y. Gao, O. Khatib, S. Song, S. Rusinkiewicz, and J. Bohg, “Tidybot++: An open-source holonomic mobile manipulator for robot learning,”
2024
Closest in time.
K. Hauser, N. Watson, Eleanor, J. Bae, J. Bankston
2024
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2024
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H. Raei, J. M. Gandarias, E. De Momi, P. Balatti, and A. Ajoudani, “A multipurpose interface for close- and far-proximity control of mobile collaborative robots,” in
2024
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2024
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2024
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A. Vaish and O. Brock, “Co-designing manipulation systems using task-relevant constraints,” in
2024
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J. M. Correia Marques, P. Naughton, J.-C. Peng
2024
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D. Honerkamp, H. Mahesheka, J. O. von Hartz, T. Welschehold, and A. Valada, “Whole-body teleoperation for mobile manipulation at zero added cost,”
2025
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