Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Mohammadi, Ali"'
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:
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:
2022 International Conference on Robotics and Automation (ICRA).
A new belief space planning algorithm, called covariance steering Belief RoadMap (CS-BRM), is introduced, which is a multi-query algorithm for motion planning of dynamical systems under simultaneous motion and observation uncertainties. CS-BRM extend
Autor:
Choi, Hyungho Chris, Wee, Inhwan, Corah, Micah, Sabet, Sahand, Kim, Taeyeon, Touma, Thomas, Shim, David Hyunchul, Agha-mohammadi, Ali-akbar
Unmanned aerial vehicles are rapidly evolving within the field of robotics. However, their performance is often limited by payload capacity, operational time, and robustness to impact and collision. These limitations of aerial vehicles become more ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3f8ac207429883cffeda71880e797a7
http://arxiv.org/abs/2102.02942
http://arxiv.org/abs/2102.02942
Autor:
Thakker, Rohan, Alatur, Nikhilesh, Fan, David D., Tordesillas, Jesus, Paton, Michael, Otsu, Kyohei, Toupet, Olivier, Agha-mohammadi, Ali-akbar
We propose a framework for resilient autonomous navigation in perceptually challenging unknown environments with mobility-stressing elements such as uneven surfaces with rocks and boulders, steep slopes, negative obstacles like cliffs and holes, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39f82741d9e28ccf3db6d3dfa537f5f4
Autor:
Agha-mohammadi, Ali-akbar, Tagliabue, Andrea, Schneider, Stephanie, Morrell, Benjamin, Pavone, Marco, Hofgartner, Jason, Nesnas, Issa A. D., Amini, Rashied B., Kalantari, Arash, Babuscia, Alessandra, Lunine, Jonathan
In this report for the Nasa NIAC Phase I study, we present a mission architecture and a robotic platform, the Shapeshifter, that allow multi-domain and redundant mobility on Saturn's moon Titan, and potentially other bodies with atmospheres. The Shap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5dad5d534f09227084d726518311493d
http://arxiv.org/abs/2003.08293
http://arxiv.org/abs/2003.08293
Autor:
Agha-mohammadi, Ali-akbar, Agarwal, Saurav, Kim, Sung-Kyun, Chakravorty, Suman, Amato, Nancy M.
Simultaneous localization and Planning (SLAP) is a crucial ability for an autonomous robot operating under uncertainty. In its most general form, SLAP induces a continuous POMDP (partially-observable Markov decision process), which needs to be repeat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f4381ae087927833e2bc9b3d20fa95a