cs.RO（2024-12-02）

📊 共 13 篇论文 | 🔗 3 篇有代码

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (10 🔗2) 支柱九：具身大模型 (Embodied Foundation Models) (2 🔗1) 支柱三：空间感知与语义 (Perception & Semantics) (1)

🔬 支柱一：机器人控制 (Robot Control) (10 篇)

#题目一句话要点标签🔗⭐
1 Whole-body MPC and sensitivity analysis of a real time foot step sequencer for a biped robot Bolt 针对双足机器人Bolt，提出基于全身MPC和步态序列器的实时步态控制方法。 bipedal biped locomotion
2 Maximum Impulse Approach to Soccer Kicking for Humanoid Robots 提出一种基于最大冲量的参数化约束人形机器人足球踢球方法 humanoid humanoid robot PULSE
3 Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control 提出量化感知模仿学习框架，提升资源受限机器人控制的效率和可靠性 manipulation imitation learning vision-language-action
4 From Instantaneous to Predictive Control: A More Intuitive and Tunable MPC Formulation for Robot Manipulators 提出一种更直观可调的预测控制方法，用于提升机器人操作臂的控制性能 MPC model predictive control
5 Planning and Reasoning with 3D Deformable Objects for Hierarchical Text-to-3D Robotic Shaping 提出基于分层规划的文本到3D机器人雕塑系统，解决可变形物体操作难题。 manipulation large language model
6 RoboHanger: Learning Generalizable Robotic Hanger Insertion for Diverse Garments RoboHanger：学习通用机器人衣架插入，适用于多样化服装 sim2real policy learning
7 Robot Learning with Super-Linear Scaling 提出CASHER，通过众包数字孪生和模拟学习实现机器人学习的超线性扩展。 sim-to-real ✅
8 Human-Machine Interfaces for Subsea Telerobotics: From Soda-straw to Natural Language Interactions 综述水下遥操作人机界面：从窄视野到自然语言交互 teleoperation
9 Morphological-Symmetry-Equivariant Heterogeneous Graph Neural Network for Robotic Dynamics Learning 提出形态对称等变异构图神经网络MS-HGNN，用于机器人动力学学习。 quadruped ✅
10 A Hybrid Evolutionary Approach for Multi Robot Coordinated Planning at Intersections 提出一种混合进化算法，用于解决多机器人交叉路口协同规划问题。 motion planning

🔬 支柱九：具身大模型 (Embodied Foundation Models) (2 篇)

#题目一句话要点标签🔗⭐
11 PKRD-CoT: A Unified Chain-of-thought Prompting for Multi-Modal Large Language Models in Autonomous Driving 提出PKRD-CoT，一种用于自动驾驶中多模态大语言模型的统一思维链提示方法 large language model chain-of-thought
12 DaDu-E: Rethinking the Role of Large Language Model in Robotic Computing Pipeline 提出DaDu-E以解决机器人在开放环境中任务执行效率低的问题 embodied AI large language model ✅

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

#题目一句话要点标签🔗⭐
13 A Semantic Communication System for Real-time 3D Reconstruction Tasks 提出基于语义通信的实时3D重建系统，解决移动端算力限制问题 scene understanding semantic mapping semantic map

⬅️ 返回 cs.RO 首页 · 🏠 返回主页