Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Dhruv Mauria Saxena"'
Publikováno v:
ICRA
Path planning for robotic coverage is the task of determining a collision-free robot trajectory that observes all points of interest in an environment. Robots employed for such tasks are often capable of exercising active control over onboard observa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb05f22f7787b3bd9c9068322572c29f
https://doi.org/10.1109/icra48506.2021.9561310
https://doi.org/10.1109/icra48506.2021.9561310
Publikováno v:
ICRA
Robot manipulation in cluttered scenes often requires contact-rich interactions with objects. It can be more economical to interact via non-prehensile actions, for example, push through other objects to get to the desired grasp pose, instead of delib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d85577b50e0893191fe772f7f55376f4
https://doi.org/10.1109/icra48506.2021.9561221
https://doi.org/10.1109/icra48506.2021.9561221
Autor:
Maxim Likhachev, Shohin Mukherjee, Tushar Kusnur, Tomoya Fukami, Dhruv Mauria Saxena, Oren Salzman, Takayuki Koyama
Publikováno v:
Field and Service Robotics ISBN: 9789811594595
Planning for multi-robot coverage seeks to determine collision-free paths for a fleet of robots, enabling them to collectively observe points of interest in an environment. Persistent coverage is a variant of traditional coverage where coverage level
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8218eb89d5f2c21c896ac6f3bcec2bb6
https://doi.org/10.1007/978-981-15-9460-1_32
https://doi.org/10.1007/978-981-15-9460-1_32
Publikováno v:
ICRA
Traditional planning and control methods could fail to find a feasible trajectory for an autonomous vehicle to execute amongst dense traffic on roads. This is because the obstacle-free volume in spacetime is very small in these scenarios for the vehi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8c506ad7e37db7d9c1020f8ddef4f9e
https://doi.org/10.1109/icra40945.2020.9197132
https://doi.org/10.1109/icra40945.2020.9197132
Publikováno v:
IROS
Sampling-based approaches are often favored in robotics for high-dimensional motion planning for their fast exploration of the search space. However, at best they offer asymptotic guarantees on solution quality due to their inherent stochasticity. Wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cd1d4095498839ca7d23a7d047992fc
https://doi.org/10.1109/iros40897.2019.8967796
https://doi.org/10.1109/iros40897.2019.8967796
Autor:
Chiho Choi, Kikuo Fujimura, Scott J. Moura, Dhruv Mauria Saxena, Alireza Nakhaei, Sangjae Bae
Publikováno v:
ACC
This paper presents a real-time lane change control framework of autonomous driving in dense traffic, which exploits cooperative behaviors of other drivers. This paper focuses on heavy traffic where vehicles cannot change lanes without cooperating wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef5dd6242f81c7a302bc644bd987e901
Autor:
Andrew Dornbush, Maxim Likhachev, Craig Lennon, Arnon Hurwitz, Marshal Childers, Dhruv Mauria Saxena
Publikováno v:
Unmanned Systems Technology XX.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b4a483d2ff9c076a6e8e339f459046d
https://doi.org/10.1117/12.2305498
https://doi.org/10.1117/12.2305498
Publikováno v:
ICRA
The ability of autonomous mobile robots to react to and recover from potential failures of on-board systems is an important area of ongoing robotics research. With increasing emphasis on robust systems and long-term autonomy, mobile robots must be ab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a6285eeda185e55e63143cb7a9826d0
https://doi.org/10.1109/icra.2017.7989684
https://doi.org/10.1109/icra.2017.7989684