Zobrazeno 1 - 10
of 2 515
pro vyhledávání: '"P. A. Belousov"'
Autor:
Topal, Irem, Cherevko, Alexander, Bugay, Yuri, Shishlenin, Maxim, Barbier, Jean, Eroglu, Deniz, Roldán, Édgar, Belousov, Roman
Cerebral aneurysms and arteriovenous malformations are life-threatening hemodynamic pathologies of the brain. While surgical intervention is often essential to prevent fatal outcomes, it carries significant risks both during the procedure and in the
Externí odkaz:
http://arxiv.org/abs/2411.16349
The macroscopic behaviour of active matter arises from nonequilibrium microscopic processes. In soft materials, active stresses typically drive macroscopic shape changes, which in turn alter the geometry constraining the microscopic dynamics, leading
Externí odkaz:
http://arxiv.org/abs/2411.15165
Autor:
Nguyen, Duc Huy, Schneider, Tim, Duret, Guillaume, Kshirsagar, Alap, Belousov, Boris, Peters, Jan
Training robot policies in simulation is becoming increasingly popular; nevertheless, a precise, reliable, and easy-to-use tactile simulator for contact-rich manipulation tasks is still missing. To close this gap, we develop TacEx -- a modular tactil
Externí odkaz:
http://arxiv.org/abs/2411.04776
Humanoids have the potential to be the ideal embodiment in environments designed for humans. Thanks to the structural similarity to the human body, they benefit from rich sources of demonstration data, e.g., collected via teleoperation, motion captur
Externí odkaz:
http://arxiv.org/abs/2411.01349
The ``AI Olympics with RealAIGym'' competition challenges participants to stabilize chaotic underactuated dynamical systems with advanced control algorithms. In this paper, we present a novel solution submitted to IROS'24 competition, which builds up
Externí odkaz:
http://arxiv.org/abs/2410.20096
Contact-rich manipulation remains a major challenge in robotics. Optical tactile sensors like GelSight Mini offer a low-cost solution for contact sensing by capturing soft-body deformations of the silicone gel. However, accurately inferring shear and
Externí odkaz:
http://arxiv.org/abs/2411.03315
In this paper, we present a semi-supervised fine-tuning approach designed to improve the performance of pre-trained foundation models on downstream tasks with limited labeled data. By leveraging content-style decomposition within an information-theor
Externí odkaz:
http://arxiv.org/abs/2410.02069
Autor:
Kinakh, Vitaliy, Pulfer, Brian, Belousov, Yury, Fernandez, Pierre, Furon, Teddy, Voloshynovskiy, Slava
The vast amounts of digital content captured from the real world or AI-generated media necessitate methods for copyright protection, traceability, or data provenance verification. Digital watermarking serves as a crucial approach to address these cha
Externí odkaz:
http://arxiv.org/abs/2409.18211
We tackle the recently introduced benchmark for whole-body humanoid control HumanoidBench using MuJoCo MPC. We find that sparse reward functions of HumanoidBench yield undesirable and unrealistic behaviors when optimized; therefore, we propose a set
Externí odkaz:
http://arxiv.org/abs/2408.00342
We consider noncompact open $SL(2, \mathbb{C})$ spin chain and construct eigenfunctions of $B$-element of monodromy matrix for the simplest case of the chain with one site. The reflection operator appearing in this construction can be used to express
Externí odkaz:
http://arxiv.org/abs/2406.19864