2 citations · 3 across the 8 of their papers we have counts for
4 papers · 1 filter
Constant-Time Planning for Chaining Collision-free Motion to Manipulation Behaviors
Nayesha Gandotra, Itamar Mishani, Maxim Likhachev +2
Recent progress in contact-rich robotic manipulation has been striking, yet most deployed systems remain confined to simple, scripted routines. One of the barriers is the lack of m…
Parallel Heuristic Search as Inference for Actor-Critic Reinforcement Learning Models
Hanlan Yang, Itamar Mishani, Luca Pivetti +2
Actor-Critic models are a class of model-free deep reinforcement learning (RL) algorithms that have demonstrated effectiveness across various robot learning tasks. While considerab…
SRMP: Search-Based Robot Motion Planning Library
Itamar Mishani, Yorai Shaoul, Ramkumar Natarajan +2
Motion planning is a critical component in any robotic system. Over the years, powerful tools like the Open Motion Planning Library (OMPL) have been developed, offering numerous mo…
MOSAIC: Skill-Centric Manipulation Planning with Physics Simulation
Itamar Mishani, Yorai Shaoul, Maxim Likhachev
Planning long-horizon manipulation motions using a set of predefined skills is a central challenge in robotics; solving it efficiently could enable general-purpose robots to tackle…