Zobrazeno 1 - 10
of 148
pro vyhledávání: '"Riek, Laurel"'
Risky and crowded environments (RCE) contain abstract sources of risk and uncertainty, which are perceived differently by humans, leading to a variety of behaviors. Thus, robots deployed in RCEs, need to exhibit diverse perception and planning capabi
Externí odkaz:
http://arxiv.org/abs/2303.08284
Autor:
Matsumoto, Sachiko, Riek, Laurel D.
In the field of Human-Robot Interaction (HRI), many researchers study shared control systems. Shared control is when a person and agent both contribute to the performance of a task in a collaborative way, often by providing control inputs for a robot
Externí odkaz:
http://arxiv.org/abs/2203.10218
Publikováno v:
In Computers in Human Behavior: Artificial Humans January-July 2024 2(1)
Publikováno v:
In International Conference on Artificial Intelligence and Statistics (pp. 1531-1539). PMLR (2021, March)
In many real-world applications, multiple agents seek to learn how to perform highly related yet slightly different tasks in an online bandit learning protocol. We formulate this problem as the $\epsilon$-multi-player multi-armed bandit problem, in w
Externí odkaz:
http://arxiv.org/abs/2010.15390
Autor:
Kress-Gazit, Hadas, Eder, Kerstin, Hoffman, Guy, Admoni, Henny, Argall, Brenna, Ehlers, Ruediger, Heckman, Christoffer, Jansen, Nils, Knepper, Ross, Křetínský, Jan, Levy-Tzedek, Shelly, Li, Jamy, Murphey, Todd, Riek, Laurel, Sadigh, Dorsa
Robot capabilities are maturing across domains, from self-driving cars, to bipeds and drones. As a result, robots will soon no longer be confined to safety-controlled industrial settings; instead, they will directly interact with the general public.
Externí odkaz:
http://arxiv.org/abs/2006.16732
Autor:
Frank, Andrea, Riek, Laurel
As social beings, much human behavior is predicated on social context - the ambient social state that includes cultural norms, social signals, individual preferences, etc. In this paper, we propose a socially-aware task and motion planning algorithm
Externí odkaz:
http://arxiv.org/abs/2001.08398
Autor:
Riek, Laurel D.
Publikováno v:
Communications of the ACM, November 2017, Vol. 60 No. 11, Pages 68-78
Robots have the potential to be a game changer in healthcare: improving health and well-being, filling care gaps, supporting care givers, and aiding health care workers. However, before robots are able to be widely deployed, it is crucial that both t
Externí odkaz:
http://arxiv.org/abs/1704.03931
As robots enter human environments, they will be expected to accomplish a tremendous range of tasks. It is not feasible for robot designers to pre-program these behaviors or know them in advance, so one way to address this is through end-user program
Externí odkaz:
http://arxiv.org/abs/1606.02485
Publikováno v:
10th EAI International Conference on Pervasive Computing Technologies for Healthcare (Pervasive Health), pp. 1-8, May, 2016
Preventable medical errors are a severe problem in healthcare, causing over 400,000 deaths per year in the US in hospitals alone. In acute care, the branch of medicine encompassing the emergency department (ED) and intensive care units (ICU), error r
Externí odkaz:
http://arxiv.org/abs/1605.05224
In order to be effective teammates, robots need to be able to understand high-level human behavior to recognize, anticipate, and adapt to human motion. We have designed a new approach to enable robots to perceive human group motion in real-time, anti
Externí odkaz:
http://arxiv.org/abs/1605.01459