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arXiv:2511.13459v2 Announce Type: replace Abstract: Reinforcement learning (RL) approaches based on Markov Decision Processes (MDPs) are predominantly applied in the robot joint space, often relying...
arXiv:2511.15239v2 Announce Type: replace Abstract: In distributed multi-agent navigation without explicit communication, agents can fall into symmetry-induced deadlocks because each agent must autonomously decide how...
arXiv:2511.15481v3 Announce Type: replace Abstract: Densely annotated medical image datasets that capture not only diagnostic labels but also the underlying reasoning behind these diagnoses are...
arXiv:2511.16050v2 Announce Type: replace Abstract: Underwater robotic manipulation remains challenging because lighting variation, color attenuation, scattering, and reduced visibility can severely degrade visuomotor policies. We...
arXiv:2511.17355v3 Announce Type: replace Abstract: Inspired by the recent success of the Mamba architecture in vision and language domains, we introduce a Unified Attention-Mamba (UAM)...
arXiv:2511.17581v2 Announce Type: replace Abstract: Modeling the cognitive and experiential factors of human navigation is central to deepening our understanding of human-environment interaction and to...
arXiv:2511.17938v2 Announce Type: replace Abstract: Large language models (LLMs) and multimodal LLMs (MLL-Ms) excel at chain-of-thought reasoning but face distribution shift at test-time and a...
arXiv:2511.18112v2 Announce Type: replace Abstract: Recent progress in Vision-Language-Action (VLA) models has enabled embodied agents to interpret multimodal instructions and perform complex tasks. However, existing...
arXiv:2511.19074v3 Announce Type: replace Abstract: While the zero-drift first arrival position (FAP) channel exhibits a Cauchy-distributed lateral displacement, nonzero drift in practical systems introduces advective...
arXiv:2511.19319v2 Announce Type: replace Abstract: Hand-Object Interaction (HOI) generation plays a critical role in advancing applications across animation and robotics. Current video-based methods are predominantly...
arXiv:2511.22829v2 Announce Type: replace Abstract: This paper presents a novel trajectory planning pipeline for complex driving scenarios like autonomous lane changing, by integrating risk-aware planning...
arXiv:2512.00273v2 Announce Type: replace Abstract: This paper introduces a novel reachability problem for the scenario involving two agents, where one agent follows another agent using...
arXiv:2512.01382v2 Announce Type: replace Abstract: Exemplar-guided Image Editing (EIE) aims to modify a source image according to a visual reference. Existing approaches often require large-scale...
arXiv:2512.02702v2 Announce Type: replace Abstract: The UK Biobank is a large-scale study collecting whole-body MR imaging and non-imaging health data. Robust and accurate inter-subject image...
arXiv:2512.04461v2 Announce Type: replace Abstract: One of the primary objectives of satellite remote sensing is to capture the complex dynamics of the Earth environment, which...
arXiv:2512.04559v3 Announce Type: replace Abstract: Diffusion models excel at generating high-likelihood samples but often require alignment with downstream objectives. Existing fine-tuning methods for diffusion models...
arXiv:2512.04737v2 Announce Type: replace Abstract: The efficient numerical solution of fractional differential equations has been recently tackled through the definition of Fractional HBVMs (FHBVMs), a...
arXiv:2512.05270v2 Announce Type: replace Abstract: As mobile robots increasingly operate alongside humans in shared workspaces, ensuring safe, efficient, and interpretable Human-Robot Interaction (HRI) has become...
arXiv:2512.05962v2 Announce Type: replace Abstract: Reinforcement Learning (RL) has become the de facto standard for tuning LLMs to solve tasks involving reasoning. However, growing evidence...
arXiv:2512.06261v2 Announce Type: replace Abstract: Generating safe, kinodynamically feasible, and optimal trajectories for complex robotic systems is a central challenge in robotics. This paper presents...
arXiv:2512.06306v2 Announce Type: replace Abstract: Human pose estimation focuses on predicting body keypoints to analyze human motion. Currently, most pose estimation tasks rely on conventional...
arXiv:2512.06547v3 Announce Type: replace Abstract: Decoupled PPO has been a successful reinforcement learning (RL) algorithm to deal with the high data staleness under the asynchronous...
arXiv:2512.07078v3 Announce Type: replace Abstract: Small object detection in complex scenes exposes a fundamental tension in neural network design: backbone attention distributes computation uniformly regardless...
arXiv:2512.08237v2 Announce Type: replace Abstract: The advancement of vision-only Bird's-Eye-View (BEV) perception, a core paradigm for cost-effective autonomous driving, is hindered by the long-standing fundamental...