1 code implementation • 8 May 2023 • Hanlan Yang, Shohin Mukherjee, Maxim Likhachev
Anytime search algorithms are useful for planning problems where a solution is desired under a limited time budget.
1 code implementation • 24 Jan 2023 • Shohin Mukherjee, Maxim Likhachev
However, in a number of robotics domains, the action space is heterogenous in the computational effort required to evaluate the cost of an action and its outcome.
no code implementations • 17 Nov 2020 • Shohin Mukherjee, Chris Paxton, Arsalan Mousavian, Adam Fishman, Maxim Likhachev, Dieter Fox
Zero-shot execution of unseen robotic tasks is important to allowing robots to perform a wide variety of tasks in human environments, but collecting the amounts of data necessary to train end-to-end policies in the real-world is often infeasible.
no code implementations • 25 Aug 2019 • Tushar Kusnur, Shohin Mukherjee, Dhruv Mauria Saxena, Tomoya Fukami, Takayuki Koyama, Oren Salzman, Maxim Likhachev
We evaluate our framework in simulation as well as the real world.
