Zobrazeno 1 - 10
of 59
pro vyhledávání: '"DeCastro, Jonathan"'
Autor:
DeCastro, Jonathan, Silva, Andrew, Gopinath, Deepak, Sumner, Emily, Balch, Thomas M., Dees, Laporsha, Rosman, Guy
Tight coordination is required for effective human-robot teams in domains involving fast dynamics and tactical decisions, such as multi-car racing. In such settings, robot teammates must react to cues of a human teammate's tactical objective to assis
Externí odkaz:
http://arxiv.org/abs/2410.10062
Autor:
Gopinath, Deepak, Cui, Xiongyi, DeCastro, Jonathan, Sumner, Emily, Costa, Jean, Yasuda, Hiroshi, Morgan, Allison, Dees, Laporsha, Chau, Sheryl, Leonard, John, Chen, Tiffany, Rosman, Guy, Balachandran, Avinash
Learning motor skills for sports or performance driving is often done with professional instruction from expert human teachers, whose availability is limited. Our goal is to enable automated teaching via a learned model that interacts with the studen
Externí odkaz:
http://arxiv.org/abs/2410.01608
Autor:
Hu, Haimin, DeCastro, Jonathan, Gopinath, Deepak, Rosman, Guy, Leonard, Naomi Ehrich, Fisac, Jaime Fernández
Non-cooperative interactions commonly occur in multi-agent scenarios such as car racing, where an ego vehicle can choose to overtake the rival, or stay behind it until a safe overtaking "corridor" opens. While an expert human can do well at making su
Externí odkaz:
http://arxiv.org/abs/2406.09810
Autor:
Lidard, Justin, Hu, Haimin, Hancock, Asher, Zhang, Zixu, Contreras, Albert Gimó, Modi, Vikash, DeCastro, Jonathan, Gopinath, Deepak, Rosman, Guy, Leonard, Naomi Ehrich, Santos, María, Fisac, Jaime Fernández
As intelligent robots like autonomous vehicles become increasingly deployed in the presence of people, the extent to which these systems should leverage model-based game-theoretic planners versus data-driven policies for safe, interaction-aware motio
Externí odkaz:
http://arxiv.org/abs/2402.14174
Autor:
Sumner, Emily S, DeCastro, Jonathan, Costa, Jean, Gopinath, Deepak E, Kimani, Everlyne, Hakimi, Shabnam, Morgan, Allison, Best, Andrew, Nguyen, Hieu, Brooks, Daniel J, Haq, Bassam ul, Patrikalakis, Andrew, Yasuda, Hiroshi, Sieck, Kate, Balachandran, Avinash, Chen, Tiffany, Rosman, Guy
Recent advances in AI and intelligent vehicle technology hold promise to revolutionize mobility and transportation, in the form of advanced driving assistance (ADAS) interfaces. Although it is widely recognized that certain cognitive factors, such as
Externí odkaz:
http://arxiv.org/abs/2402.05893
This work introduces a preference learning method that ensures adherence to given specifications, with an application to autonomous vehicles. Our approach incorporates the priority ordering of Signal Temporal Logic (STL) formulas describing traffic r
Externí odkaz:
http://arxiv.org/abs/2311.02099
Autor:
Lidard, Justin, So, Oswin, Zhang, Yanxia, DeCastro, Jonathan, Cui, Xiongyi, Huang, Xin, Kuo, Yen-Ling, Leonard, John, Balachandran, Avinash, Leonard, Naomi, Rosman, Guy
Interactions between road agents present a significant challenge in trajectory prediction, especially in cases involving multiple agents. Because existing diversity-aware predictors do not account for the interactive nature of multi-agent predictions
Externí odkaz:
http://arxiv.org/abs/2305.17600
Autor:
Shah, Ameesh, DeCastro, Jonathan, Gideon, John, Yalcinkaya, Beyazit, Rosman, Guy, Seshia, Sanjit A.
Advancements in simulation and formal methods-guided environment sampling have enabled the rigorous evaluation of machine learning models in a number of safety-critical scenarios, such as autonomous driving. Application of these environment sampling
Externí odkaz:
http://arxiv.org/abs/2303.17010
Autor:
DeCastro, Jonathan A., Gopinath, Deepak, Rosman, Guy, Sumner, Emily, Hakimi, Shabnam, Stent, Simon
To construct effective teaming strategies between humans and AI systems in complex, risky situations requires an understanding of individual preferences and behaviors of humans. Previously this problem has been treated in case-specific or data-agnost
Externí odkaz:
http://arxiv.org/abs/2207.09619
Autor:
Sumner, Emily S.1,2 (AUTHOR) emily.sumner@tri.global, DeCastro, Jonathan1,2 (AUTHOR) jonathan.decastro@tri.global, Costa, Jean1 (AUTHOR), Gopinath, Deepak E.1,2 (AUTHOR), Kimani, Everlyne1 (AUTHOR), Hakimi, Shabnam1 (AUTHOR), Morgan, Allison1 (AUTHOR), Best, Andrew1 (AUTHOR), Nguyen, Hieu1 (AUTHOR), Brooks, Daniel J.1,2 (AUTHOR), ul Haq, Bassam1 (AUTHOR), Patrikalakis, Andrew1 (AUTHOR), Yasuda, Hiroshi1 (AUTHOR), Sieck, Kate1 (AUTHOR), Balachandran, Avinash1 (AUTHOR), Chen, Tiffany L.1 (AUTHOR), Rosman, Guy1,2 (AUTHOR)
Publikováno v:
Scientific Reports. 8/5/2024, Vol. 14 Issue 1, p1-12. 12p.
