cs.RO(2025-01-09)
📊 共 10 篇论文
🎯 兴趣领域导航
支柱一:机器人控制 (Robot Control) (6)
支柱二:RL算法与架构 (RL & Architecture) (3)
支柱九:具身大模型 (Embodied Foundation Models) (1)
🔬 支柱一:机器人控制 (Robot Control) (6 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | Design and Control of a Bipedal Robotic Character | 设计并控制双足机器人角色,实现富有表现力且稳健的动态运动,应用于娱乐场景。 | legged robot bipedal biped | ||
| 2 | Dexterous Manipulation of Deformable Objects via Pneumatic Gripping: Lifting by One End | 提出一种基于气动抓取的纺织品单边灵巧操作方法,降低抓取力并减少振动 | manipulation dexterous manipulation | ||
| 3 | Assisting MoCap-Based Teleoperation of Robot Arm using Augmented Reality Visualisations | 利用增强现实可视化辅助基于动作捕捉的机器人手臂遥操作 | humanoid teleoperation | ||
| 4 | From Simple to Complex Skills: The Case of In-Hand Object Reorientation | 提出基于分层策略的灵巧手物体重定向系统,提升模拟到真实的迁移能力 | manipulation dexterous manipulation sim-to-real | ||
| 5 | Intelligent Sailing Model for Open Sea Navigation | 提出智能航行模型(ISM),用于模拟开放海域中符合规则的自主船舶导航。 | model predictive control motion planning | ||
| 6 | RoboPanoptes: The All-seeing Robot with Whole-body Dexterity | RoboPanoptes:基于全身灵巧性和全身视觉的通用机器人系统 | manipulation |
🔬 支柱二:RL算法与架构 (RL & Architecture) (3 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 7 | CuRLA: Curriculum Learning Based Deep Reinforcement Learning for Autonomous Driving | 提出基于课程学习的深度强化学习方法CuRLA,用于提升自动驾驶在复杂环境中的适应性和安全性。 | reinforcement learning deep reinforcement learning DRL | ||
| 8 | LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models | LearningFlow:利用大语言模型实现城市自动驾驶策略的自动化学习 | reinforcement learning policy learning large language model | ||
| 9 | Self-Supervised Representation Learning with Joint Embedding Predictive Architecture for Automotive LiDAR Object Detection | 提出AD-L-JEPA,用于自动驾驶LiDAR目标检测的自监督表征学习。 | representation learning MAE |
🔬 支柱九:具身大模型 (Embodied Foundation Models) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 10 | UAV-VLA: Vision-Language-Action System for Large Scale Aerial Mission Generation | 提出UAV-VLA系统,利用视觉语言模型和GPT实现大规模无人机任务生成。 | vision-language-action VLA |