cs.RO(2024-03-25)

📊 共 26 篇论文 | 🔗 3 篇有代码

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支柱一:机器人控制 (Robot Control) (19 🔗2) 支柱二:RL算法与架构 (RL & Architecture) (6 🔗1) 支柱三:空间感知与语义 (Perception & Semantics) (1)

🔬 支柱一:机器人控制 (Robot Control) (19 篇)

#题目一句话要点标签🔗
1 Visual Whole-Body Control for Legged Loco-Manipulation 提出视觉全身控制框架以解决腿式机器人移动操控问题 legged robot whole-body control manipulation
2 Arm-Constrained Curriculum Learning for Loco-Manipulation of the Wheel-Legged Robot 提出臂约束课程学习以解决轮腿机器人操控不稳定问题 legged robot manipulation loco-manipulation
3 Temporal and Semantic Evaluation Metrics for Foundation Models in Post-Hoc Analysis of Robotic Sub-tasks 提出自动化框架以解决机器人任务规划中的数据稀缺问题 motion planning large language model foundation model
4 Real-time Model Predictive Control with Zonotope-Based Neural Networks for Bipedal Social Navigation 提出基于Zonotope的神经网络以解决双足机器人社交导航问题 bipedal biped MPC
5 Bipedal Safe Navigation over Uncertain Rough Terrain: Unifying Terrain Mapping and Locomotion Stability 提出一种层次化规划方法以解决双足机器人在不确定粗糙地形中的导航问题 bipedal biped locomotion
6 A Robotic Skill Learning System Built Upon Diffusion Policies and Foundation Models 基于扩散策略与基础模型的机器人技能学习系统 manipulation diffusion policy foundation model
7 Adaptive Step Duration for Accurate Foot Placement: Achieving Robust Bipedal Locomotion on Terrains with Restricted Footholds 提出自适应步长以解决受限踏面行走问题 bipedal biped locomotion
8 Learning Symbolic and Subsymbolic Temporal Task Constraints from Bimanual Human Demonstrations 提出一种新模型以学习双手操作的时间任务约束 humanoid humanoid robot manipulation
9 Exploring CausalWorld: Enhancing robotic manipulation via knowledge transfer and curriculum learning 通过知识迁移和课程学习提升机器人操控能力 manipulation reinforcement learning curriculum learning
10 Impact-Aware Bimanual Catching of Large-Momentum Objects 提出在线优化框架以解决大动量物体的双手捕捉问题 manipulation bi-manual trajectory optimization
11 Low-Cost Teleoperation with Haptic Feedback through Vision-based Tactile Sensors for Rigid and Soft Object Manipulation 提出低成本远程操作框架以解决触觉反馈不足问题 manipulation teleoperation
12 Human Stress Response and Perceived Safety during Encounters with Quadruped Robots 通过生理数据分析人类与四足机器人交互中的压力反应 quadruped Unitree multimodal
13 Grounding Language Plans in Demonstrations Through Counterfactual Perturbations 通过反事实扰动将语言计划与演示相结合以解决机器人任务规划问题 manipulation imitation learning embodied AI
14 Multi-Contact Inertial Parameters Estimation and Localization in Legged Robots 提出多接触惯性参数估计与定位方法以解决机器人定位问题 legged robot humanoid
15 TAIL: A Terrain-Aware Multi-Modal SLAM Dataset for Robot Locomotion in Deformable Granular Environments 提出TAIL数据集以解决变形颗粒环境中的SLAM问题 quadruped locomotion
16 Bridging the Sim-to-Real Gap with Bayesian Inference 提出SIM-FSVGD以解决机器人动态学习中的数据不足问题 sim-to-real model-based RL
17 Vision-Based Dexterous Motion Planning by Dynamic Movement Primitives with Human Hand Demonstration 提出基于视觉的灵巧运动规划以解决人手示范问题 motion planning
18 Trajectory Optimization with Global Yaw Parameterization for Field-of-View Constrained Autonomous Flight 提出全球偏航参数化方法以解决自主飞行中的视场约束问题 trajectory optimization
19 Active Admittance Control with Iterative Learning for General-Purpose Contact-Rich Manipulation 提出基于主动导纳控制的迭代学习框架以解决多任务力控制问题 manipulation

🔬 支柱二:RL算法与架构 (RL & Architecture) (6 篇)

#题目一句话要点标签🔗
20 Trajectory Planning of Robotic Manipulator in Dynamic Environment Exploiting DRL 利用深度强化学习优化动态环境中机械臂轨迹规划 reinforcement learning DRL
21 Proprioception Is All You Need: Terrain Classification for Boreal Forests 提出BorealTC数据集以解决北方森林地形分类问题 Mamba SSM state space model
22 SYNAPSE: SYmbolic Neural-Aided Preference Synthesis Engine 提出SYNAPSE以解决机器人偏好学习问题 preference learning large language model
23 Skill Q-Network: Learning Adaptive Skill Ensemble for Mapless Navigation in Unknown Environments 提出Skill Q-Network以解决未知环境中的无图导航问题 reinforcement learning zero-shot transfer
24 Counter-example guided Imitation Learning of Feedback Controllers from Temporal Logic Specifications 提出基于反例引导的模仿学习方法以满足时序逻辑控制要求 imitation learning
25 Dyna-LfLH: Learning Agile Navigation in Dynamic Environments from Learned Hallucination 提出Dyna-LfLH以解决动态环境中的导航问题 reinforcement learning imitation learning

🔬 支柱三:空间感知与语义 (Perception & Semantics) (1 篇)

#题目一句话要点标签🔗
26 A Comparative Analysis of Visual Odometry in Virtual and Real-World Railways Environments 提出虚拟环境与真实环境下视觉里程计的比较分析以解决铁路感知任务问题 visual odometry

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