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of 16
pro vyhledávání: '"Sheng, Shili"'
Online planning for partially observable Markov decision processes (POMDPs) provides efficient techniques for robot decision-making under uncertainty. However, existing methods fall short of preventing safety violations in dynamic environments. This
Externí odkaz:
http://arxiv.org/abs/2404.15557
Recent work has considered trust-aware decision making for human-robot collaboration (HRC) with a focus on model learning. In this paper, we are interested in enabling the HRC system to complete complex tasks specified using temporal logic that invol
Externí odkaz:
http://arxiv.org/abs/2310.01163
Partially observable Markov decision processes (POMDPs) have been widely used in many robotic applications for sequential decision-making under uncertainty. POMDP online planning algorithms such as Partially Observable Monte-Carlo Planning (POMCP) ca
Externí odkaz:
http://arxiv.org/abs/2309.10216
In conditionally automated driving, drivers decoupled from driving while immersed in non-driving-related tasks (NDRTs) could potentially either miss the system-initiated takeover request (TOR) or a sudden TOR may startle them. To better prepare drive
Externí odkaz:
http://arxiv.org/abs/2208.13900
Automated vehicles are gradually entering people's daily life to provide a comfortable driving experience for the users. The generic and user-agnostic automated vehicles have limited ability to accommodate the different driving styles of different us
Externí odkaz:
http://arxiv.org/abs/2208.08002
Autor:
Sheng, Shili, Pakdamanian, Erfan, Han, Kyungtae, Wang, Ziran, Lenneman, John, Parker, David, Feng, Lu
Recent work has considered personalized route planning based on user profiles, but none of it accounts for human trust. We argue that human trust is an important factor to consider when planning routes for automated vehicles. This paper presents a tr
Externí odkaz:
http://arxiv.org/abs/2101.03267
Automated vehicles promise a future where drivers can engage in non-driving tasks without hands on the steering wheels for a prolonged period. Nevertheless, automated vehicles may still need to occasionally hand the control back to drivers due to tec
Externí odkaz:
http://arxiv.org/abs/2012.15441
Invariants are a set of properties over program attributes that are expected to be true during the execution of a program. Since developing those invariants manually can be costly and challenging, there are a myriad of approaches that support automat
Externí odkaz:
http://arxiv.org/abs/2012.06615
Autor:
Sheng, Shili, Pakdamanian, Erfan, Han, Kyungtae, Kim, BaekGyu, Tiwari, Prashant, Kim, Inki, Feng, Lu
As autonomous vehicles have benefited the society, understanding the dynamic change of humans' trust during human-autonomous vehicle interaction can help to improve the safety and performance of autonomous driving. We designed and conducted a human s
Externí odkaz:
http://arxiv.org/abs/1904.11007
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