2 citations · 3 across the 8 of their papers we have counts for
8 papers
Multi Graph Search for High-Dimensional Robot Motion Planning
Itamar Mishani, Maxim Likhachev
Efficient motion planning for high-dimensional robotic systems, such as manipulators and mobile manipulators, is critical for real-time operation and reliable deployment. Although…
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…
Multi-Robot Motion Planning with Diffusion Models
Yorai Shaoul, Itamar Mishani, Shivam Vats +2
Diffusion models have recently been successfully applied to a wide range of robotics applications for learning complex multi-modal behaviors from data. However, prior works have mo…
Accelerating Search-Based Planning for Multi-Robot Manipulation by Leveraging Online-Generated Experiences
Yorai Shaoul, Itamar Mishani, Maxim Likhachev +1
An exciting frontier in robotic manipulation is the use of multiple arms at once. However, planning concurrent motions is a challenging task using current methods. The high-dimensi…
Constant-time Motion Planning with Anytime Refinement for Manipulation
Itamar Mishani, Hayden Feddock, Maxim Likhachev
Robotic manipulators are essential for future autonomous systems, yet limited trust in their autonomy has confined them to rigid, task-specific systems. The intricate configuration…