Zobrazeno 1 - 10
of 4 394
pro vyhledávání: '"A. Likhachev"'
Publikováno v:
IEEE Robotics and Automation Letters, vol. 8, no. 11, pp. 6947-6954, Nov. 2023
In manipulation tasks like plug insertion or assembly that have low tolerance to errors in pose estimation (errors of the order of 2mm can cause task failure), the utilization of touch/contact modality can aid in accurately localizing the object of i
Externí odkaz:
http://arxiv.org/abs/2406.05522
Multi-Robot-Arm Motion Planning (M-RAMP) is a challenging problem featuring complex single-agent planning and multi-agent coordination. Recent advancements in extending the popular Conflict-Based Search (CBS) algorithm have made large strides in solv
Externí odkaz:
http://arxiv.org/abs/2405.01772
The majority of multi-agent path finding (MAPF) methods compute collision-free space-time paths which require agents to be at a specific location at a specific discretized timestep. However, executing these space-time paths directly on robotic system
Externí odkaz:
http://arxiv.org/abs/2404.15137
Autor:
Likhachev, Kirill V., Uchaev, Maxim V., Veyshtort, Igor P., Batueva, Anastasia V., Gurin, Aleksandr S., Babunts, Roman A., Baranov, Pavel G.
The possibility of using axial spin color centers with $S=3/2$, oriented along the hexagonal $c$ axis in a silicon carbide (SiC) wafer, has been demonstrated for all-optical measurement of projection of the external magnetic field coinciding with the
Externí odkaz:
http://arxiv.org/abs/2404.07080
With the advent of machine learning, there have been several recent attempts to learn effective and generalizable heuristics. Local Heuristic A* (LoHA*) is one recent method that instead of learning the entire heuristic estimate, learns a "local" res
Externí odkaz:
http://arxiv.org/abs/2404.06728
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-dimensional composite state space renders many well-known motion planning alg
Externí odkaz:
http://arxiv.org/abs/2404.00143
Autor:
Veerapaneni, Rishi, Wang, Qian, Ren, Kevin, Jakobsson, Arthur, Li, Jiaoyang, Likhachev, Maxim
Multi-agent path finding (MAPF) is the problem of finding collision-free paths for a team of agents to reach their goal locations. State-of-the-art classical MAPF solvers typically employ heuristic search to find solutions for hundreds of agents but
Externí odkaz:
http://arxiv.org/abs/2403.20300
Trajectory optimization is a widely used technique in robot motion planning for letting the dynamics and constraints on the system shape and synthesize complex behaviors. Several previous works have shown its benefits in high-dimensional continuous s
Externí odkaz:
http://arxiv.org/abs/2401.08948
Autor:
Natarajan, Ramkumar, Yang, Hanlan, Xie, Qintong, Oza, Yash, Das, Manash Pratim, Islam, Fahad, Saleem, Muhammad Suhail, Choset, Howie, Likhachev, Maxim
We are interested in studying sports with robots and starting with the problem of intercepting a projectile moving toward a robot manipulator equipped with a shield. To successfully perform this task, the robot needs to (i) detect the incoming projec
Externí odkaz:
http://arxiv.org/abs/2401.08022
Publikováno v:
Physics Letters A, Volume 510, 2024, 129547, ISSN 0375-9601
Based on the direct method of molecular dynamics, the temperature dependence of energy, partition function, entropy and free energy, describing the first-order phase transition, is calculated for the classical Peyrard-Bishop-Dauxois model of the DNA
Externí odkaz:
http://arxiv.org/abs/2311.10105