| 1 |
Kinematics-Aware Multi-Policy Reinforcement Learning for Force-Capable Humanoid Loco-Manipulation |
提出一种基于运动学感知的多策略强化学习方法,用于人形机器人力控操作 |
humanoid humanoid robot manipulation |
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| 2 |
Sampling-Based Optimization with Parallelized Physics Simulator for Bimanual Manipulation |
提出基于并行物理模拟优化的采样方法,解决复杂双臂操作任务。 |
manipulation bi-manual bimanual |
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| 3 |
Dual-Agent Reinforcement Learning for Adaptive and Cost-Aware Visual-Inertial Odometry |
提出基于双智能体强化学习的自适应、低成本视觉惯性里程计 |
running reinforcement learning VO |
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| 4 |
TraceGen: World Modeling in 3D Trace Space Enables Learning from Cross-Embodiment Videos |
TraceGen:通过3D轨迹空间的世界建模实现跨具身视频学习 |
manipulation world model cross-embodiment |
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| 5 |
Maglev-Pentabot: Magnetic Levitation System for Non-Contact Manipulation using Deep Reinforcement Learning |
Maglev-Pentabot:基于深度强化学习的磁悬浮非接触操控系统,突破微观尺度限制 |
manipulation reinforcement learning deep reinforcement learning |
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| 6 |
Hyper-GoalNet: Goal-Conditioned Manipulation Policy Learning with HyperNetworks |
Hyper-GoalNet:利用超网络实现目标条件下的机器人操作策略学习 |
manipulation policy learning |
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| 7 |
VacuumVLA: Boosting VLA Capabilities via a Unified Suction and Gripping Tool for Complex Robotic Manipulation |
VacuumVLA:通过集成吸取与夹持工具,增强VLA模型在复杂机器人操作中的能力 |
manipulation |
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| 8 |
Transformer Driven Visual Servoing and Dual Arm Impedance Control for Fabric Texture Matching |
提出基于Transformer的视觉伺服与双臂阻抗控制方法,用于织物纹理精确对齐与放置。 |
dual-arm |
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| 9 |
MarketGen: A Scalable Simulation Platform with Auto-Generated Embodied Supermarket Environments |
MarketGen:一个可扩展的具身智能超市环境自动生成仿真平台 |
manipulation mobile manipulation sim-to-real |
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| 10 |
Neural NMPC through Signed Distance Field Encoding for Collision Avoidance |
提出神经网络非线性模型预测控制以解决无人机避障问题 |
model predictive control navigation |
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| 11 |
$\mathcal{E}_0$: Enhancing Generalization and Fine-Grained Control in VLA Models via Continuized Discrete Diffusion |
提出E0框架,通过连续离散扩散提升VLA模型在机器人操作中的泛化性和精细控制能力 |
manipulation policy learning |
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