1 code implementation • 19 Dec 2022 • Sagar Parekh, Dylan P. Losey
To deal with this challenge, our insight is that -- instead of building an exact model of the human -- robots can learn and reason over high-level representations of the human's policy and policy dynamics.
no code implementations • 23 Mar 2022 • Sagar Parekh, Soheil Habibian, Dylan P. Losey
When robots interact with human partners, often these partners change their behavior in response to the robot.
no code implementations • 6 Jul 2021 • Dylan P. Losey, Andrea Bajcsy, Marcia K. O'Malley, Anca D. Dragan
We recognize that physical human-robot interaction (pHRI) is often intentional -- the human intervenes on purpose because the robot is not doing the task correctly.
1 code implementation • 2 May 2021 • Siddharth Karamcheti, Albert J. Zhai, Dylan P. Losey, Dorsa Sadigh
In this work, we develop assistive robots that condition their latent embeddings on visual inputs.
no code implementations • 12 Nov 2020 • Annie Xie, Dylan P. Losey, Ryan Tolsma, Chelsea Finn, Dorsa Sadigh
We propose a reinforcement learning-based framework for learning latent representations of an agent's policy, where the ego agent identifies the relationship between its behavior and the other agent's future strategy.
no code implementations • 22 Jul 2020 • Mengxi Li, Dylan P. Losey, Jeannette Bohg, Dorsa Sadigh
Existing approaches to teleoperation typically assume a one-size-fits-all approach, where the designers pre-define a mapping between human inputs and robot actions, and every user must adapt to this mapping over repeated interactions.
no code implementations • 24 Jun 2020 • Erdem Biyik, Dylan P. Losey, Malayandi Palan, Nicholas C. Landolfi, Gleb Shevchuk, Dorsa Sadigh
As designing reward functions can be extremely challenging, a more promising approach is to directly learn reward functions from human teachers.
no code implementations • 13 Jan 2020 • Minae Kwon, Erdem Biyik, Aditi Talati, Karan Bhasin, Dylan P. Losey, Dorsa Sadigh
Overall, we extend existing rational human models so that collaborative robots can anticipate and plan around suboptimal human behavior during HRI.
no code implementations • 16 Oct 2019 • Dylan P. Losey, Mengxi Li, Jeannette Bohg, Dorsa Sadigh
When teams of robots collaborate to complete a task, communication is often necessary.
2 code implementations • 10 Oct 2019 • Erdem Biyik, Malayandi Palan, Nicholas C. Landolfi, Dylan P. Losey, Dorsa Sadigh
Robots can learn the right reward function by querying a human expert.
no code implementations • 20 Sep 2019 • Dylan P. Losey, Krishnan Srinivasan, Ajay Mandlekar, Animesh Garg, Dorsa Sadigh
Our insight is that we can make assistive robots easier for humans to control by leveraging latent actions.
Robotics