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We present DiPPeST, a novel image and goal conditioned diffusion-based trajectory generator for quadrupedal robot path planning.
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S. Hong, J. Lu, and D. P. Filev, “Dynamic Diffusion Maps-based Path Planning for Real-time Collision Avoidance of Mobile Robots,” in IEEE Intelligent Vehicles Symposium (IV) , 2018, pp. 2224–2229
2018
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D. Kanoulas, N. G. Tsagarakis, and M. Vona, “Curved Patch Mapping and Tracking for Irregular Terrain Modeling: Application to Bipedal Robot Foot Placement,” Robotics and Autonomous Systems , vol. 119, pp. 13–30, 2019
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R. Saeed, D. R. Recupero, and P. Remagnino, “A boundary node method for path planning of mobile robots,” Robotics and Autonomous Systems , vol. 123, p. 103320, 2020. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0921889018307310
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J. Crespo, J. Castillo, O. Mozos, and R. Barber, “Semantic information for robot navigation: A survey,” Applied Sciences , vol. 10, p. 497, 2020. [Online]. Available: https://doi.org/10.3390/app10020497
2020
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D. H. Lee, S. S. Lee, C. K. Ahn, P. Shi, and C.-C. Lim, “Finite distribution estimation-based dynamic window approach to reliable obstacle avoidance of mobile robot,” IEEE Transactions on Industrial Electronics , vol. 68, no. 10, pp. 9998–10 006, 2021
2021
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L. Chang, L. Shan, C. Jiang, and Y. Dai, “Reinforcement based mobile robot path planning with improved dynamic window approach in unknown environment,” Autonomous Robots , vol. 45, no. 1, pp. 51–76, 2021. [Online]. Available: https://doi.org/10.1007/s10514-020-09947-4
2021
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N. Kottege, L. Sentis, and D. Kanoulas, “Editorial: Towards real-world deployment of legged robots,” Frontiers in Robotics and AI , vol. 8, 2022
2022
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2023
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A. Sridhar, D. Shah, C. Glossop, and S. Levine, “Nomad: Goal masked diffusion policies for navigation and exploration,” 2023
2023
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F. Yang, C. Wang, C. Cadena, and M. Hutter, “iplanner: Imperative path planning,” 2023
2023
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P. Roth, J. Nubert, F. Yang, M. Mittal, and M. Hutter, “Viplanner: Visual semantic imperative learning for local navigation,” 2023
2023
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J. Rodziewicz-Bielewicz and M. Korzeń, “Vision-based mobile robots control along a given trajectory,” in Artificial Intelligence and Soft Computing , L. Rutkowski, R. Scherer, M. Korytkowski, W. Pedrycz, R. Tadeusiewicz, and J. M. Zurada, Eds. Cham: Springer Nature Switzerland, 2023, pp. 69–77
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M. Janner, Y. Du, J. Tenenbaum, and S. Levine, “Planning with Diffusion for Flexible Behavior Synthesis,” in International Conference on Machine Learning , 2022
2022
Cited alongside, same era.
Y. Kantaros, S. Kalluraya, Q. Jin, and G. J. Pappas, “Perception-based temporal logic planning in uncertain semantic maps,” IEEE Transactions on Robotics , vol. 38, no. 4, pp. 2536–2556, 2022
2022
Cited alongside, same era.
J. Liu, S. Lyu, D. Hadjivelichkov, V. Modugno, and D. Kanoulas, “ViT-A*: Legged Robot Path Planning using Vision Transformer A,” in IEEE-RAS 22nd International Conference on Humanoid Robots (Humanoids) , 2023, pp. 1–6
2023
Cited alongside, same era.
C. Chi, S. Feng, Y. Du, Z. Xu, E. Cousineau, B. Burchfiel, and S. Song, “Diffusion Policy: Visuomotor Policy Learning via Action Diffusion,” in Robotics: Science and Systems (RSS) , 2023
2023
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2023
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Z. Zhu, R. Wang, and X. Zhang, “Visible rrt*: Asymptotically optimal random search tree for visual servo tasks with the fov constraint,” in 2023 42nd Chinese Control Conference (CCC) , 2023, pp. 4633–4638
2023
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H. Ali, S. Murad, and Z. Shah, “Spot the Fake Lungs: Generating Synthetic Medical Images Using Neural Diffusion Models,” in Artificial Intelligence and Cognitive Science , L. Longo and R. O’Reilly, Eds. Cham: Springer Nature Switzerland, 2023, pp. 32–39
2023
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J. Liu, M. Stamatopoulou, and D. Kanoulas, “Dipper: Diffusion-based 2d path planner applied on legged robots,” in IEEE International Conference on Robotics and Automation (ICRA) , 2024
2024
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