Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Neil T. Dantam"'
Autor:
Sihui Li, Neil T. Dantam
Publikováno v:
Algorithmic Foundations of Robotics XV ISBN: 9783031210891
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57036db9c4b8e94e4a578fc3fa63d8e1
https://doi.org/10.1007/978-3-031-21090-7_18
https://doi.org/10.1007/978-3-031-21090-7_18
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Publikováno v:
IEEE Robotics and Automation Letters. 6:4813-4819
In many exploration scenarios, it is important for robots to efficiently explore new areas and constantly communicate results. Mobile robots inherently couple motion and network topology due to the effects of position on wireless propagation—e.g. d
Autor:
Neil T. Dantam
Publikováno v:
The International Journal of Robotics Research. 40:1087-1105
Modern approaches for robot kinematics employ the product of exponentials formulation, represented using homogeneous transformation matrices. Quaternions over dual numbers are an established alternative representation; however, their use presents cer
Autor:
Sihui Li, Neil T. Dantam
Publikováno v:
Robotics: Science and Systems
We present a learning-based approach to prove infeasibility of kinematic motion planning problems. Sampling-based motion planners are effective in high-dimensional spaces but are only probabilistically complete. Consequently, these planners cannot pr
Autor:
Sihui Li, Neil T. Dantam
Publikováno v:
IROS
We present a general approach for constructing proofs of motion planning infeasibility. Effective high-dimensional motion planners, such as sampling-based methods, are limited to probabilistic completeness, so when no plan exists, these planners eith
Autor:
Caelan Reed Garrett, Neil T. Dantam, Aliakbar Akbari, Fabien Lagriffoul, Siddharth Srivastava, Lydia E. Kavraki
Publikováno v:
IEEE Robotics and Automation Letters. 3:3765-3772
We present the first platform-independent evaluation method for task and motion planning (TAMP). Previously point, various problems have been used to test individual planners for specific aspects of TAMP. However, no common set of metrics, formats, a
Publikováno v:
IEEE Robotics & Automation Magazine. 25:61-70
Robots require novel reasoning systems to achieve complex objectives in new environments. Daily activities in the physical world combine two types of reasoning: discrete and continuous. For example, to set the table in Figure 1, the robot must make d
Publikováno v:
The International Journal of Robotics Research. 37:1134-1151
We present a new constraint-based framework for task and motion planning (TMP). Our approach is extensible, probabilistically complete, and offers improved performance and generality compared with a similar, state-of-the-art planner. The key idea is
Autor:
Neil T. Dantam
Publikováno v:
Springer Proceedings in Advanced Robotics ISBN: 9783030440503
WAFR
WAFR
Modern approaches for robot kinematics employ the product of exponentials formulation, represented using homogeneous transformation matrices. Quaternions over dual numbers are an established alternative representation; however, their use presents cer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7c22f5589a926f8181be2f82edd9ed2
https://doi.org/10.1007/978-3-030-44051-0_37
https://doi.org/10.1007/978-3-030-44051-0_37