Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Habibian, Soheil"'
Autor:
Habibian, Soheil
The growing presence of modern learning robots necessitates a fundamental shift in design, as these robots must learn skills from human inputs. Two main components close the loop in a human-robot interaction: learning and communication. Learning deri
Externí odkaz:
https://hdl.handle.net/10919/120698
Robot arms should be able to learn new tasks. One framework here is reinforcement learning, where the robot is given a reward function that encodes the task, and the robot autonomously learns actions to maximize its reward. Existing approaches to rei
Externí odkaz:
http://arxiv.org/abs/2403.13281
For robots to seamlessly interact with humans, we first need to make sure that humans and robots understand one another. Diverse algorithms have been developed to enable robots to learn from humans (i.e., transferring information from humans to robot
Externí odkaz:
http://arxiv.org/abs/2312.00948
Autor:
Valdivia, Antonio Alvarez, Habibian, Soheil, Mendenhall, Carly A., Fuentes, Francesco, Shailly, Ritish, Losey, Dylan P., Blumenschein, Laura H.
Humans can leverage physical interaction to teach robot arms. As the human kinesthetically guides the robot through demonstrations, the robot learns the desired task. While prior works focus on how the robot learns, it is equally important for the hu
Externí odkaz:
http://arxiv.org/abs/2207.03315
Autor:
Habibian, Soheil, Losey, Dylan P
Recent works explore collaboration between humans and teams of robots. These approaches make sense if the human is already working with the robot team; but how should robots encourage nearby humans to join their teams in the first place? Inspired by
Externí odkaz:
http://arxiv.org/abs/2205.03477
When robots interact with human partners, often these partners change their behavior in response to the robot. On the one hand this is challenging because the robot must learn to coordinate with a dynamic partner. But on the other hand -- if the robo
Externí odkaz:
http://arxiv.org/abs/2203.12705
Roboticists have been seeking to address this situation in recent years through the use of soft robots. Unfortunately, identifying appropriate models for the complete analysis and investigation of soft robots for design and control purposes can be pr
Externí odkaz:
http://arxiv.org/abs/2110.01591
Robots can learn from humans by asking questions. In these questions the robot demonstrates a few different behaviors and asks the human for their favorite. But how should robots choose which questions to ask? Today's robots optimize for informative
Externí odkaz:
http://arxiv.org/abs/2107.01995
Autor:
Dadvar, Mehdi, Habibian, Soheil
The multidisciplinary nature of response robotics has brought about a diversified research community with extended expertise. Motivated by the recent accelerated rate of publications in the field, this paper analyzes the technical content, statistics
Externí odkaz:
http://arxiv.org/abs/2105.07812
Autor:
Habibian, Soheil, Dadvar, Mehdi, Peykari, Behzad, Hosseini, Alireza, Salehzadeh, M. Hossein, Hosseini, Alireza H. M., Najafi, Farshid
Publikováno v:
Robomech J 8, 1 (2021)
Rescue robots are expected to carry out reconnaissance and dexterity operations in unknown environments comprising unstructured obstacles. Although a wide variety of designs and implementations have been presented within the field of rescue robotics,
Externí odkaz:
http://arxiv.org/abs/2008.10396