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pro vyhledávání: '"Kapoor, Parv"'
With the advent of large foundation model based planning, there is a dire need to ensure their output aligns with the stakeholder's intent. When these models are deployed in the real world, the need for alignment is magnified due to the potential cos
Externí odkaz:
http://arxiv.org/abs/2408.05336
Autor:
Zhang, Changjian, Kapoor, Parv, Kang, Eunsuk, Meira-Goes, Romulo, Garlan, David, Ganlath, Akila, Mishra, Shatadal, Ammar, Nejib
Cyber-physical systems (CPS) with reinforcement learning (RL)-based controllers are increasingly being deployed in complex physical environments such as autonomous vehicles, the Internet-of-Things(IoT), and smart cities. An important property of a CP
Externí odkaz:
http://arxiv.org/abs/2406.17066
Trajectory planning is a critical process that enables autonomous systems to safely navigate complex environments. Signal temporal logic (STL) specifications are an effective way to encode complex temporally extended objectives for trajectory plannin
Externí odkaz:
http://arxiv.org/abs/2403.10554
Autor:
Zhang, Changjian, Kapoor, Parv, Meira-Goes, Romulo, Garlan, David, Kang, Eunsuk, Ganlath, Akila, Mishra, Shatadal, Ammar, Nejib
The adoption of cyber-physical systems (CPS) is on the rise in complex physical environments, encompassing domains such as autonomous vehicles, the Internet of Things (IoT), and smart cities. A critical attribute of CPS is robustness, denoting its ca
Externí odkaz:
http://arxiv.org/abs/2311.07462
Trust has been shown to be a key factor in effective human-robot collaboration. In the context of assistive robotics, the effect of trust factors on human experience is further pronounced. Personalization of assistive robots is an orthogonal factor p
Externí odkaz:
http://arxiv.org/abs/2310.18791
Autor:
He, Yao, Cisneros, Ivan, Keetha, Nikhil, Patrikar, Jay, Ye, Zelin, Higgins, Ian, Hu, Yaoyu, Kapoor, Parv, Scherer, Sebastian
Robust and accurate localization for Unmanned Aerial Vehicles (UAVs) is an essential capability to achieve autonomous, long-range flights. Current methods either rely heavily on GNSS, face limitations in visual-based localization due to appearance va
Externí odkaz:
http://arxiv.org/abs/2310.16299
Autor:
Patrikar, Jay, Dantas, Joao P. A., Ghosh, Sourish, Kapoor, Parv, Higgins, Ian, Aloor, Jasmine J., Navarro, Ingrid, Sun, Jimin, Stoler, Ben, Hamidi, Milad, Baijal, Rohan, Moon, Brady, Oh, Jean, Scherer, Sebastian
We propose developing an integrated system to keep autonomous unmanned aircraft safely separated and behave as expected in conjunction with manned traffic. The main goal is to achieve safe manned-unmanned vehicle teaming to improve system performance
Externí odkaz:
http://arxiv.org/abs/2211.06932
Seamlessly integrating rules in Learning-from-Demonstrations (LfD) policies is a critical requirement to enable the real-world deployment of AI agents. Recently, Signal Temporal Logic (STL) has been shown to be an effective language for encoding rule
Externí odkaz:
http://arxiv.org/abs/2209.13737
Techniques based on Reinforcement Learning (RL) are increasingly being used to design control policies for robotic systems. RL fundamentally relies on state-based reward functions to encode desired behavior of the robot and bad reward functions are p
Externí odkaz:
http://arxiv.org/abs/2011.04950
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