The design, construction, and use of robots, as well as the use of computer systems for their control, sensory feedback, and information processing.
The paper discusses the challenge of trajectory planning in mobile manipulators, particularly for tasks requiring a continuous trajectory from the end-effector, such as 3D printing. The mobility of the mobile…
Continue readingThe study presents a novel approach to decision making for autonomous vehicles using reachable sets. The proposed decision module identifies potential driving corridors by computing the reachable set for the…
Continue readingThis article introduces a new approach to enhance skeleton-based action recognition using multi-modality self-supervision. The authors propose an Implicit Knowledge Exchange Module (IKEM) that mitigates the spread of incorrect knowledge…
Continue readingThe paper introduces a method to handle occlusions in self-supervised skeleton-based action recognition for autonomous robotic systems. The proposed strategy pre-trains using occluded skeleton sequences, employs k-means clustering on sequence…
Continue readingThe article presents AnyD, a geographically-aware conditional imitation learning model for autonomous driving. AnyD can efficiently learn from diverse and globally distributed data, including dynamic environmental, traffic, and social characteristics….
Continue readingThe article presents LLM-Grounder, a new method for 3D visual grounding that uses a large language model (LLM) to decompose complex natural language queries into semantic constituents. The LLM then…
Continue readingThis paper focuses on the advancements and methods developed during the RoboDepth Challenge, an academic competition aimed at facilitating and promoting robust out-of-distribution (OoD) depth estimation. This challenge was crucial…
Continue readingThe paper introduces Parallel Q-Learning (PQL), a technique that optimizes off-policy reinforcement learning for large-scale GPU-based simulations. PQL is designed to leverage the superior sample efficiency of off-policy learning while…
Continue readingIn this study, researchers propose a new class of language models known as 3D Large Language Models (3D-LLMs) that incorporate understanding of the 3D physical world. Current language models, despite…
Continue readingThis research focuses on autonomous agriculture applications such as inspection, phenotyping, and fruit plucking, which require the manipulation of plant foliage to look behind leaves and branches. The challenges of…
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