LocoMan: Advancing Versatile Quadrupedal Dexterity with Lightweight Loco-Manipulators
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Abstract (arXiv)
Quadrupedal robots have emerged as versatile agents capable of locomoting and manipulating in complex environments. Traditional designs typically rely on the robot's inherent body parts or incorporate top-mounted arms for manipulation tasks. However, these configurations may limit the robot's operational dexterity, efficiency and adaptability, particularly in cluttered or constrained spaces. In this work, we present LocoMan, a dexterous quadrupedal robot with a novel morphology to perform versatile manipulation in diverse constrained environments. By equipping a Unitree Go1 robot with two low-cost and lightweight modular 3-DoF loco-manipulators on its front calves, LocoMan leverages the combined mobility and functionality of the legs and grippers for complex manipulation tasks that require precise 6D positioning of the end effector in a wide workspace. To harness the loco-manipulation capabilities of LocoMan, we introduce a unified control framework that extends the whole-body controller (WBC) to integrate the dynamics of loco-manipulators. Through experiments, we validate that the proposed whole-body controller can accurately and stably follow desired 6D trajectories of the end effector and torso, which, when combined with the large workspace from our design, facilitates a diverse set of challenging dexterous loco-manipulation tasks in confined spaces, such as opening doors, plugging into sockets, picking objects in narrow and low-lying spaces, and bimanual manipulation.
Key facts. Cited by 9 papers in the map (data through 13 Oct 2026). First posted on arXiv 27 Mar 2024.
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Citing papers per year: 2024: 3; 2025: 6.
9 papers.
- 2024Mobile-TeleVision: Predictive Motion Priors for Humanoid Whole-Body Controlcited by 41
- 2024Learning Multi-Agent Loco-Manipulation for Long-Horizon Quadrupedal Pushingcited by 9
- 2024Helpful DoggyBot: Open-World Object Fetching using Legged Robots and Vision-Language Modelscited by 8
- 2025Human2LocoMan: Learning Versatile Quadrupedal Manipulation with Human Pretrainingcited by 8
- 2025SLIM: Sim-to-Real Legged Instructive Manipulation via Long-Horizon Visuomotor Learningcited by 4
- 2025QuietPaw: Learning Quadrupedal Locomotion with Versatile Noise Preference Alignmentcited by 1
- 2025Bipedalism for Quadrupedal Robots: Versatile Loco-Manipulation through Risk-Adaptive Reinforcement Learningcited by 1
- 2025CAIMAN: Causal Action Influence Detection for Sample-efficient Loco-manipulationcited by 0
- 2025Scoop-and-Toss: Dynamic Object Collection for Quadrupedal Systemscited by 0
- 2025Bipedalism for Quadrupedal Robots: Versatile Loco-Manipulation through Risk-Adaptive Reinforcement Learning27 Jul 2025
- 2025Human2LocoMan: Learning Versatile Quadrupedal Manipulation with Human Pretraining19 Jun 2025
- 2025Scoop-and-Toss: Dynamic Object Collection for Quadrupedal Systems11 Jun 2025
- 2025QuietPaw: Learning Quadrupedal Locomotion with Versatile Noise Preference Alignment6 Mar 2025
- 2025CAIMAN: Causal Action Influence Detection for Sample-efficient Loco-manipulation2 Feb 2025
- 2025SLIM: Sim-to-Real Legged Instructive Manipulation via Long-Horizon Visuomotor Learning17 Jan 2025
- 2024Mobile-TeleVision: Predictive Motion Priors for Humanoid Whole-Body Control10 Dec 2024
- 2024Learning Multi-Agent Loco-Manipulation for Long-Horizon Quadrupedal Pushing11 Nov 2024
- 2024Helpful DoggyBot: Open-World Object Fetching using Legged Robots and Vision-Language Models30 Sep 2024