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Zakary Littlefield
Zakary Littlefield
Bestätigte E-Mail-Adresse bei cs.rutgers.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Asymptotically optimal sampling-based kinodynamic planning
Y Li, Z Littlefield, KE Bekris
The International Journal of Robotics Research 35 (5), 528-564, 2016
2762016
Probabilistic completeness of RRT for geometric and kinodynamic planning with forward propagation
M Kleinbort, K Solovey, Z Littlefield, KE Bekris, D Halperin
IEEE Robotics and Automation Letters 4 (2), x-xvi, 2018
802018
Sparse methods for efficient asymptotically optimal kinodynamic planning
Y Li, Z Littlefield, KE Bekris
Algorithmic Foundations of Robotics XI: Selected Contributions of the …, 2015
792015
Efficient and asymptotically optimal kinodynamic motion planning via dominance-informed regions
Z Littlefield, KE Bekris
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
442018
Efficient sampling-based motion planning with asymptotic near-optimality guarantees for systems with dynamics
Z Littlefield, Y Li, KE Bekris
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013
412013
Evaluating end-effector modalities for warehouse picking: A vacuum gripper vs a 3-finger underactuated hand
Z Littlefield, S Zhu, H Kourtev, Z Psarakis, R Shome, A Kimmel, A Dobson, ...
2016 IEEE International Conference on Automation Science and Engineering …, 2016
252016
The importance of a suitable distance function in belief-space planning
Z Littlefield, D Klimenko, H Kurniawati, KE Bekris
Robotics Research: Volume 2, 683-700, 2017
232017
Informed asymptotically near-optimal planning for field robots with dynamics
Z Littlefield, KE Bekris
Field and Service Robotics: Results of the 11th International Conference …, 2018
202018
Pracsys: An extensible architecture for composing motion controllers and planners
A Kimmel, A Dobson, Z Littlefield, A Krontiris, J Marble, KE Bekris
Simulation, Modeling, and Programming for Autonomous Robots: Third …, 2012
202012
From quasi-static to kinodynamic planning for spherical tensegrity locomotion
Z Littlefield, D Surovik, W Wang, KE Bekris
Robotics Research: The 18th International Symposium ISRR, 947-966, 2020
172020
Kinodynamic planning for spherical tensegrity locomotion with effective gait primitives
Z Littlefield, D Surovik, M Vespignani, J Bruce, W Wang, KE Bekris
The International journal of robotics research 38 (12-13), 1442-1462, 2019
172019
Fast, anytime motion planning for prehensile manipulation in clutter
A Kimmel, R Shome, Z Littlefield, K Bekris
2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids), 1-9, 2018
172018
An extensible software architecture for composing motion and task planners
Z Littlefield, A Krontiris, A Kimmel, A Dobson, R Shome, KE Bekris
Simulation, Modeling, and Programming for Autonomous Robots: 4th …, 2014
162014
Integrating simulated tensegrity models with efficient motion planning for planetary navigation
Z Littlefield, K Caluwaerts, J Bruce, V SunSpiral, KE Bekris
International Symposium on AI, Robotics and Automation in Space (i-SAIRAS), 2016
142016
Towards learning efficient maneuver sets for kinodynamic motion planning
A Sivaramakrishnan, Z Littlefield, KE Bekris
arXiv preprint arXiv:1907.07876, 2019
62019
Corrections to “Probabilistic Completeness of RRT for Geometric and Kinodynamic Planning With Forward Propagation”
M Kleinbort, K Solovey, Z Littlefield, KE Bekris, D Halperin
IEEE Robotics and Automation Letters 8 (2), 1149-1150, 2023
2023
Efficient and asymptotically optimal kinodynamic motion planning
Z Littlefield
Rutgers University-School of Graduate Studies, 2020
2020
Learning Efficient Maneuver Sets for Kinodynamic Motion Planning
A Sivaramakrishnan, Z Littlefield, KE Bekris
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