Zobrazeno 1 - 10
of 11 445
pro vyhledávání: '"A A, Panov"'
Autor:
Staroverov, Aleksey, Alhaddad, Muhammad, Narendra, Aditya, Mironov, Konstantin, Panov, Aleksandr
We address a task of local trajectory planning for the mobile robot in the presence of static and dynamic obstacles. Local trajectory is obtained as a numerical solution of the Model Predictive Control (MPC) problem. Collision avoidance may be provid
Externí odkaz:
http://arxiv.org/abs/2410.06819
We present a fully autonomous real-world RL framework for mobile manipulation that can learn policies without extensive instrumentation or human supervision. This is enabled by 1) task-relevant autonomy, which guides exploration towards object intera
Externí odkaz:
http://arxiv.org/abs/2409.20568
Autor:
Jamal, Mais, Panov, Aleksandr
Decision-making, motion planning, and trajectory prediction are crucial in autonomous driving systems. By accurately forecasting the movements of other road users, the decision-making capabilities of the autonomous system can be enhanced, making it m
Externí odkaz:
http://arxiv.org/abs/2409.10165
This paper examines nucleosynthesis in a low-mass neutron star crust that loses mass due to accretion in a close binary system and, reaching a hydrodynamically unstable configuration explodes. The r-process proceeds mainly in the inner crust. Nucleos
Externí odkaz:
http://arxiv.org/abs/2409.05059
Multi-agent pathfinding (MAPF) is a challenging computational problem that typically requires to find collision-free paths for multiple agents in a shared environment. Solving MAPF optimally is NP-hard, yet efficient solutions are critical for numero
Externí odkaz:
http://arxiv.org/abs/2409.00134
Reinforcement learning is a widely used approach to autonomous navigation, showing potential in various tasks and robotic setups. Still, it often struggles to reach distant goals when safety constraints are imposed (e.g., the wheeled robot is prohibi
Externí odkaz:
http://arxiv.org/abs/2408.13881
Autor:
Vazhentsev, Artem, Fadeeva, Ekaterina, Xing, Rui, Panchenko, Alexander, Nakov, Preslav, Baldwin, Timothy, Panov, Maxim, Shelmanov, Artem
Uncertainty quantification (UQ) is a perspective approach to detecting Large Language Model (LLM) hallucinations and low quality output. In this work, we address one of the challenges of UQ in generation tasks that arises from the conditional depende
Externí odkaz:
http://arxiv.org/abs/2408.10692
Large vision-language models (LVLMs) have made significant progress in recent years. While LVLMs exhibit excellent ability in language understanding, question answering, and conversations of visual inputs, they are prone to producing hallucinations.
Externí odkaz:
http://arxiv.org/abs/2408.05767
Autor:
Oganisian, Victoria, Panov, Taras
We prove that the moment-angle complex $\mathcal Z_K$ corresponding to a 3-dimensional simplicial sphere $K$ has the cohomology ring isomorphic to the cohomology ring of a connected sum of products of spheres if and only if either (a) $K$ is the boun
Externí odkaz:
http://arxiv.org/abs/2408.04843
Autor:
Skrynnik, Alexey, Andreychuk, Anton, Borzilov, Anatolii, Chernyavskiy, Alexander, Yakovlev, Konstantin, Panov, Aleksandr
Multi-agent reinforcement learning (MARL) has recently excelled in solving challenging cooperative and competitive multi-agent problems in various environments with, mostly, few agents and full observability. Moreover, a range of crucial robotics-rel
Externí odkaz:
http://arxiv.org/abs/2407.14931