Zobrazeno 1 - 10
of 2 347
pro vyhledávání: '"P., Parasuraman"'
Autor:
Gąsieniec, Leszek, Kuszner, Łukasz, Latif, Ehsan, Parasuraman, Ramviyas, Spirakis, Paul, Stachowiak, Grzegorz
In the distributed localization problem (DLP), n anonymous robots (agents) A0, A1, ..., A(n-1) begin at arbitrary positions p0, ..., p(n-1) in S, where S is a Euclidean space. The primary goal in DLP is for agents to reach a consensus on a unified co
Externí odkaz:
http://arxiv.org/abs/2411.08434
In indoor environments, multi-robot visual (RGB-D) mapping and exploration hold immense potential for application in domains such as domestic service and logistics, where deploying multiple robots in the same environment can significantly enhance eff
Externí odkaz:
http://arxiv.org/abs/2411.02524
We propose a distributed control law for a heterogeneous multi-robot coverage problem, where the robots could have different energy characteristics, such as capacity and depletion rates, due to their varying sizes, speeds, capabilities, and payloads.
Externí odkaz:
http://arxiv.org/abs/2411.02230
The use of autonomous systems in medical evacuation (MEDEVAC) scenarios is promising, but existing implementations overlook key insights from human-robot interaction (HRI) research. Studies on human-machine teams demonstrate that human perceptions of
Externí odkaz:
http://arxiv.org/abs/2410.19072
Autor:
Biswas, Soumya, Dabral, Keshav, Majumder, Saptak, Parasuraman, Rajasekar, Dutt, Aditya S., Kamble, Vinayak B.
Among the popular TE materials, selenides and tellurides are the benchmarks of high-efficiency systems. However, for the high-temperature application (>700 K), it is required to rely on the silicides and the oxides due to their exceptional thermal st
Externí odkaz:
http://arxiv.org/abs/2409.09728
Offloading time-sensitive, computationally intensive tasks-such as advanced learning algorithms for autonomous driving-from vehicles to nearby edge servers, vehicle-to-infrastructure (V2I) systems, or other collaborating vehicles via vehicle-to-vehic
Externí odkaz:
http://arxiv.org/abs/2408.03435
Multi-robot coverage is crucial in numerous applications, including environmental monitoring, search and rescue operations, and precision agriculture. In modern applications, a multi-robot team must collaboratively explore unknown spatial fields in G
Externí odkaz:
http://arxiv.org/abs/2407.06296
Classification of different object surface material types can play a significant role in the decision-making algorithms for mobile robots and autonomous vehicles. RGB-based scene-level semantic segmentation has been well-addressed in the literature.
Externí odkaz:
http://arxiv.org/abs/2407.06077
Robot systems in education can leverage Large language models' (LLMs) natural language understanding capabilities to provide assistance and facilitate learning. This paper proposes a multimodal interactive robot (PhysicsAssistant) built on YOLOv8 obj
Externí odkaz:
http://arxiv.org/abs/2403.18721
Autor:
Li, Yiwei, Wu, Zihao, Zhao, Huaqin, Yang, Tianze, Liu, Zhengliang, Shu, Peng, Sun, Jin, Parasuraman, Ramviyas, Liu, Tianming
To tackle the "reality gap" encountered in Sim-to-Real transfer, this study proposes a diffusion-based framework that minimizes inconsistencies in grasping actions between the simulation settings and realistic environments. The process begins by trai
Externí odkaz:
http://arxiv.org/abs/2403.11459