Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers
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Cited by 20 in Deep reinforcement learning methods, but placed by its own abstract, which didn’t fit.
Abstract (arXiv)
We propose to address quadrupedal locomotion tasks using Reinforcement Learning (RL) with a Transformer-based model that learns to combine proprioceptive information and high-dimensional depth sensor inputs. While learning-based locomotion has made great advances using RL, most methods still rely on domain randomization for training blind agents that generalize to challenging terrains. Our key insight is that proprioceptive states only offer contact measurements for immediate reaction, whereas an agent equipped with visual sensory observations can learn to proactively maneuver environments with obstacles and uneven terrain by anticipating changes in the environment many steps ahead. In this paper, we introduce LocoTransformer, an end-to-end RL method that leverages both proprioceptive states and visual observations for locomotion control. We evaluate our method in challenging simulated environments with different obstacles and uneven terrain. We transfer our learned policy from simulation to a real robot by running it indoors and in the wild with unseen obstacles and terrain. Our method not only significantly improves over baselines, but also achieves far better generalization performance, especially when transferred to the real robot. Our project page with videos is at https://rchalyang.github.io/LocoTransformer/ .
Key facts. Cited by 79 papers in the map (data through 14 Oct 2026). Builds on 58 of its 89 references that are in the map. First posted on arXiv 8 Jul 2021.
Builds on
58 of 89 references.
References · 58
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- 2020Learning Quadrupedal Locomotion over Challenging Terraincited by 604
- 2019Learning agile and dynamic motor skills for legged robotscited by 504
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50 most cited of 58 All 58 (JSON)
Built on by
Citing papers per year: 2021: 2; 2022: 19; 2023: 18; 2024: 17; 2025: 17; 2026: 6.
79 papers.
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- 2021Vision-Guided Quadrupedal Locomotion in the Wild with Multi-Modal Delay Randomizationcited by 23
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- 2025Impoola: The Power of Average Pooling for Image-Based Deep Reinforcement Learningcited by 6
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50 most cited of 79 All 79 (JSON)
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- 2026LadderMan: Learning Humanoid Perceptive Ladder Climbing4 Jun 2026
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- 2026Toward Reliable Sim-to-Real Predictability for MoE-based Robust Quadrupedal Locomotion31 Jan 2026
- 2026PUMA: Perception-driven Unified Foothold Prior for Mobility Augmented Quadruped Parkour22 Jan 2026
- 2025Seq-DeepIPC: Sequential Sensing for End-to-End Control in Legged Robot Navigation27 Oct 2025
- 2025Risk-Aware Reinforcement Learning with Bandit-Based Adaptation for Quadrupedal Locomotion16 Oct 2025
- 2025Learning to Generate Pointing Gestures in Situated Embodied Conversational Agents15 Sep 2025
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- 2025Vision-Proprioception Fusion with Mamba2 in End-to-End Reinforcement Learning for Motion Control9 Sep 2025
- 2025QuadKAN: KAN-Enhanced Quadruped Motion Control via End-to-End Reinforcement Learning26 Aug 2025
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- 2024Deep Reinforcement Learning for Robotics: A Survey of Real-World Successescited by 176
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- 2024DreamWaQ++: Obstacle-Aware Quadrupedal Locomotion With Resilient Multi-Modal Reinforcement Learningcited by 6
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- 2025QuadKAN: KAN-Enhanced Quadruped Motion Control via End-to-End Reinforcement Learningcited by 2
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- 2026Safe Online Learning via Smooth Safety-Structured Policy Composition30 Jun 2026
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- 2026Toward Reliable Sim-to-Real Predictability for MoE-based Robust Quadrupedal Locomotion31 Jan 2026
- 2025Risk-Aware Reinforcement Learning with Bandit-Based Adaptation for Quadrupedal Locomotion16 Oct 2025
- 2025LIPM-Guided Reinforcement Learning for Stable and Perceptive Locomotion in Bipedal Robots11 Sep 2025
- 2025QuadKAN: KAN-Enhanced Quadruped Motion Control via End-to-End Reinforcement Learning26 Aug 2025
- 2025Hierarchical Reinforcement Learning and Value Optimization for Challenging Quadruped Locomotion24 Jun 2025
- 2025Spatially-Enhanced Recurrent Memory for Long-Range Mapless Navigation via End-to-End Reinforcement Learning6 Jun 2025
- 2025Distillation-PPO: A Novel Two-Stage Reinforcement Learning Framework for Humanoid Robot Perceptive Locomotion11 Mar 2025
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12 newest of 17 All 17 (JSON)
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12 most cited of 54 All 54 (JSON)
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- 2026LadderMan: Learning Humanoid Perceptive Ladder Climbing4 Jun 2026
- 2026PUMA: Perception-driven Unified Foothold Prior for Mobility Augmented Quadruped Parkour22 Jan 2026
- 2025Seq-DeepIPC: Sequential Sensing for End-to-End Control in Legged Robot Navigation27 Oct 2025
- 2025Learning to Generate Pointing Gestures in Situated Embodied Conversational Agents15 Sep 2025
- 2025Observations Meet Actions: Learning Control-Sufficient Representations for Robust Policy Generalization25 Jul 2025
- 2025GLEAM: Learning Generalizable Exploration Policy for Active Mapping in Complex 3D Indoor Scenes26 May 2025
- 2025Let Humanoids Hike! Integrative Skill Development on Complex Trails9 May 2025
- 2025Towards Embodiment Scaling Laws in Robot Locomotion9 May 2025
- 2024One Filter to Deploy Them All: Robust Safety for Quadrupedal Navigation in Unknown Environments13 Dec 2024
- 2024Simplex-enabled Safe Continual Learning Machine5 Sep 2024
- 2024Cross-Modal Learning for Anomaly Detection in Complex Industrial Process: Methodology and Benchmark13 Jun 2024
12 newest of 54 All 54 (JSON)