Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Mohammadi, Ali"'
Autor:
Vochten, Maxim, Mohammadi, Ali Mousavi, Verduyn, Arno, De Laet, Tinne, Aertbeliën, Erwin, De Schutter, Joris
Invariant descriptors of point and rigid-body motion trajectories have been proposed in the past as representative task models for motion recognition and generalization. Currently, no invariant descriptor exists for representing force trajectories wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7c705f39cd16a2ce2668ae53e67fe3a
http://arxiv.org/abs/2306.10926
http://arxiv.org/abs/2306.10926
The article develops an impact-resilient aerial robot (s-ARQ) equipped with a compliant arm to sense contacts and reduce collision impact and featuring a real-time contact force estimator and a non-linear motion controller to handle collisions while
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25e084021c4ec998dd51a116899309eb
http://arxiv.org/abs/2305.14680
http://arxiv.org/abs/2305.14680
Autor:
Saucedo, Mario A. V., Patel, Akash, Sawlekar, Rucha, Saradagi, Akshit, Kanellakis, Christoforos, Agha-Mohammadi, Ali-Akbar, Nikolakopoulos, George
In this article, we propose a novel LiDAR and event camera fusion modality for subterranean (SubT) environments for fast and precise object and human detection in a wide variety of adverse lighting conditions, such as low or no light, high-contrast z
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6fa13d92da07d6ef174e39196ba2840
http://arxiv.org/abs/2304.08908
http://arxiv.org/abs/2304.08908
Autor:
Dixit, Anushri, Fan, David D., Otsu, Kyohei, Dey, Sharmita, Agha-Mohammadi, Ali-Akbar, Burdick, Joel W.
Although autonomy has gained widespread usage in structured and controlled environments, robotic autonomy in unknown and off-road terrain remains a difficult problem. Extreme, off-road, and unstructured environments such as undeveloped wilderness, ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b37853fdb54f4aa1bc17582639c798e3
http://arxiv.org/abs/2303.01614
http://arxiv.org/abs/2303.01614
Autor:
Denniston, Christopher E., Peltzer, Oriana, Ott, Joshua, Moon, Sangwoo, Kim, Sung-Kyun, Sukhatme, Gaurav S., Kochenderfer, Mykel J., Schwager, Mac, Agha-mohammadi, Ali-akbar
In active source seeking, a robot takes repeated measurements in order to locate a signal source in a cluttered and unknown environment. A key component of an active source seeking robot planner is a model that can produce estimates of the signal at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::471ba44898aa0b8b44154e690c4379fd
http://arxiv.org/abs/2301.02362
http://arxiv.org/abs/2301.02362
Autor:
Ginting, Muhammad Fadhil, Kim, Sung-Kyun, Peltzer, Oriana, Ott, Joshua, Jung, Sunggoo, Kochenderfer, Mykel J., Agha-mohammadi, Ali-akbar
To achieve autonomy in unknown and unstructured environments, we propose a method for semantic-based planning under perceptual uncertainty. This capability is crucial for safe and efficient robot navigation in environment with mobility-stressing elem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49bc9f6a1463805ae31cdb5e9d6e99b8
This article presents a 3D point cloud map-merging framework for egocentric heterogeneous multi-robot exploration, based on overlap detection and alignment, that is independent of a manual initial guess or prior knowledge of the robots' poses. The no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3d17918910ae6c21ecf1068916695e7
Autor:
Patel, Akash, Karlsson, Samuel, Lindqvist, Bjorn, Kanellakis, Christoforos, Agha-Mohammadi, Ali-Akbar, Nikolakopoulos, George
Mapping and exploration of a Martian terrain with an aerial vehicle has become an emerging research direction, since the successful flight demonstration of the Mars helicopter Ingenuity. Although the autonomy and navigation capability of the state of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::460f751b884bfa8c51187fe77ee31a35
http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-94268
http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-94268
Autor:
Gibson, Jason, Vlahov, Bogdan, Fan, David, Spieler, Patrick, Pastor, Daniel, Agha-mohammadi, Ali-akbar, Theodorou, Evangelos A.
Modeling dynamics is often the first step to making a vehicle autonomous. While on-road autonomous vehicles have been extensively studied, off-road vehicles pose many challenging modeling problems. An off-road vehicle encounters highly complex and di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64aca630c06744f74f55887eedbede35
Publikováno v:
IEEE Robot Autom Lett
One of the main challenges in autonomous robotic exploration and navigation in unknown and unstructured environments is determining where the robot can or cannot safely move. A significant source of difficulty in this determination arises from stocha