The article discusses the targeted parallelization of conflict-based search for Multi-Robot Path Planning (MRPP). The authors have introduced a method that utilizes a decentralized parallel algorithm to explore multiple branches…
Continue readingThe paper ‘The Efficiency Spectrum of Large Language Models: An Algorithmic Survey’ provides a comprehensive review of algorithmic advancements aimed to enhance the efficiency of Large Language Models (LLMs). It…
Continue readingThe article presents a method for extracting planar regions in uneven terrains from unordered point cloud measurements, which is crucial for robotic locomotion. The proposed multi-resolution planar region extraction strategy…
Continue readingThe paper discusses the challenges of training large language models (LLMs) using Reinforcement Learning from Human Feedback (RLHF). The authors identify three important properties in RLHF tasks: fast simulation, deterministic…
Continue readingNeural Radiance Fields (NeRFs) are a powerful tool for implicit scene representations and have been used in various applications, including robotics. However, using NeRFs in sampling-based or Monte-Carlo localisation schemes…
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