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Publication search results
found 247 matches
- 2024
- Andrej Kitanov, Vadim Indelman:
Topological belief space planning for active SLAM with pairwise Gaussian potentials and performance guarantees. Int. J. Robotics Res. 43(1): 69-97 (2024) - Daniel H. Von Eschwege, Andries P. Engelbrecht:
Belief space-guided approach to self-adaptive particle swarm optimization. Swarm Intell. 18(1): 31-78 (2024) - Dongliang Zheng, Jack Ridderhof, Zhiyuan Zhang, Panagiotis Tsiotras, Ali-Akbar Agha-Mohammadi:
CS-BRM: A Probabilistic RoadMap for Consistent Belief Space Planning With Reachability Guarantees. IEEE Trans. Robotics 40: 1630-1649 (2024) - Andrey Zhitnikov, Vadim Indelman:
Simplified Continuous High-Dimensional Belief Space Planning With Adaptive Probabilistic Belief-Dependent Constraints. IEEE Trans. Robotics 40: 1684-1705 (2024) - Himanshu Gupta:
Efficient Continuous Space BeliefMDP Solutions for Navigation and Active Sensing. AAMAS 2024: 2749-2751 - Tanmoy Kundu, Moshe Rafaeli, Vadim Indelman:
Multi-Robot Communication-Aware Cooperative Belief Space Planning with Inconsistent Beliefs: An Action-Consistent Approach. CoRR abs/2403.05962 (2024) - 2023
- Vladimir Tchuiev, Vadim Indelman:
Epistemic uncertainty aware semantic localization and mapping for inference and belief space planning. Artif. Intell. 319: 103903 (2023) - Ali Reza Pedram, Riku Funada, Takashi Tanaka:
Gaussian Belief Space Path Planning for Minimum Sensing Navigation. IEEE Trans. Robotics 39(3): 2040-2059 (2023) - Ali Reza Pedram, Takashi Tanaka:
A Smoothing Algorithm for Minimum Sensing Path Plans in Gaussian Belief Space. ACC 2023: 3304-3309 - Yue Cui, Jie Zhang, Ying Zhang, Chenglin He, Dashuai Liu:
Research on Folk Belief Space in Fengzhou Ancient Town Based on GIS. HCI (45) 2023: 385-392 - Matti Vahs, Christian Pek, Jana Tumova:
Risk-aware Spatio-temporal Logic Planning in Gaussian Belief Spaces. ICRA 2023: 7879-7885 - Sébastien Konieczny:
On Epistemic Spaces for Iterated Belief Revision. ENIGMA@KR 2023: 3-5 - Andrey Zhitnikov, Vadim Indelman:
Simplified Continuous High Dimensional Belief Space Planning with Adaptive Probabilistic Belief-dependent Constraints. CoRR abs/2302.06697 (2023) - Raphaël Avalos, Florent Delgrange, Ann Nowé, Guillermo A. Pérez, Diederik M. Roijers:
The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models. CoRR abs/2303.03284 (2023) - Ali Reza Pedram, Takashi Tanaka:
A Smoothing Algorithm for Minimum Sensing Path Plans in Gaussian Belief Space. CoRR abs/2303.07326 (2023) - Vrushabh Zinage, Ali Reza Pedram, Takashi Tanaka:
Optimal Sampling-based Motion Planning in Gaussian Belief Space for Minimum Sensing Navigation. CoRR abs/2306.00264 (2023) - Janis Eric Freund, Camille Phiquepal, Andreas Orthey, Marc Toussaint:
Asymptotically Optimal Belief Space Planning in Discrete Partially-Observable Domains. CoRR abs/2309.10672 (2023) - Matti Vahs, Jana Tumova:
Risk-aware Control for Robots with Non-Gaussian Belief Spaces. CoRR abs/2309.12857 (2023) - Jean-François Tremblay, David Meger, Francois Robert Hogan, Gregory Dudek:
Learning active tactile perception through belief-space control. CoRR abs/2312.00215 (2023) - 2022
- Elad I. Farhi, Vadim Indelman:
Bayesian incremental inference update by re-using calculations from belief space planning: a new paradigm. Auton. Robots 46(7): 783-816 (2022) - Wu Deng, Hongcheng Ni, Yi Liu, Huiling Chen, Huimin Zhao:
An adaptive differential evolution algorithm based on belief space and generalized opposition-based learning for resource allocation. Appl. Soft Comput. 127: 109419 (2022) - Shambhavi Mahajan, Bonnie Chen, Alireza Karduni, Yea-Seul Kim, Emily Wall:
VIBE: A Design Space for VIsual Belief Elicitation in Data Journalism. Comput. Graph. Forum 41(3): 477-488 (2022) - Khen Elimelech, Vadim Indelman:
Simplified decision making in the belief space using belief sparsification. Int. J. Robotics Res. 41(5): 470-496 (2022) - Camille Phiquepal, Andreas Orthey, Nicolas Viennot, Marc Toussaint:
Path-Tree Optimization in Discrete Partially Observable Environments Using Rapidly-Exploring Belief-Space Graphs. IEEE Robotics Autom. Lett. 7(4): 10160-10167 (2022) - Jonas Nordlöf, Gustaf Hendeby, Daniel Axehill:
LiDAR-Landmark Modeling for Belief-Space Planning using Aerial Forest Data. FUSION 2022: 1-8 - Moshe Shienman, Vadim Indelman:
D2A-BSP: Distilled Data Association Belief Space Planning with Performance Guarantees Under Budget Constraints. ICRA 2022: 11058-11065 - Dongliang Zheng, Jack Ridderhof, Panagiotis Tsiotras, Ali-akbar Agha-mohammadi:
Belief Space Planning: a Covariance Steering Approach. ICRA 2022: 11051-11057 - Moran Barenboim, Vadim Indelman:
Adaptive Information Belief Space Planning. IJCAI 2022: 4588-4596 - Ran Hao, Murat Cenk Çavusoglu:
Homology-Class Guided Rapidly-Exploring Random Tree For Belief Space Planning. IROS 2022: 4478-4485 - Maximilian Naumann, Christoph Stiller:
AIB-MDP: Continuous Probabilistic Motion Planning for Automated Vehicles by Leveraging Action Independent Belief Spaces. IROS 2022: 6373-6380
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