mlsanityData to 7 Oct 2026

PlaMo: Plan and Move in Rich 3D Physical Environments

arXiv 2406.18237 ↗First posted 26 Jun 2024cs.AI cs.GR cs.ROcited by 1

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Abstract (arXiv)

Controlling humanoids in complex physically simulated worlds is a long-standing challenge with numerous applications in gaming, simulation, and visual content creation. In our setup, given a rich and complex 3D scene, the user provides a list of instructions composed of target locations and locomotion types. To solve this task we present PlaMo, a scene-aware path planner and a robust physics-based controller. The path planner produces a sequence of motion paths, considering the various limitations the scene imposes on the motion, such as location, height, and speed. Complementing the planner, our control policy generates rich and realistic physical motion adhering to the plan. We demonstrate how the combination of both modules enables traversing complex landscapes in diverse forms while responding to real-time changes in the environment. Video: https://youtu.be/wWlqSQlRZ9M .

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 21 of its 46 references that are in the map. First posted on arXiv 26 Jun 2024.

Builds on

21 of 46 references.

References · 21

  1. 2017Proximal Policy Optimization Algorithmscited by 14,441
  2. 2019Expressive Body Capture: 3D Hands, Face, and Body from a Single Imagecited by 1,600
  3. 2019AMASS: Archive of Motion Capture as Surface Shapescited by 1,208
  4. 2021Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learningcited by 882
  5. 2023Guided Motion Diffusion for Controllable Human Motion Synthesiscited by 221
  6. 2023Object Motion Guided Human Motion Synthesiscited by 206
  7. 2023Perpetual Humanoid Control for Real-time Simulated Avatarscited by 198
  8. 2021Character Controllers Using Motion VAEscited by 182
  9. 2023Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusioncited by 137
  10. 2023Universal Humanoid Motion Representations for Physics-Based Controlcited by 109
  11. 2023CALM: Conditional Adversarial Latent Models for Directable Virtual Characterscited by 91
  12. 2019Ego-Pose Estimation and Forecasting as Real-Time PD Controlcited by 87
9 more
  1. 2023PhysHOI: Physics-Based Imitation of Dynamic Human-Object Interactioncited by 72
  2. 2020Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesiscited by 63
  3. 2023PADL: Language-Directed Physics-Based Character Controlcited by 47
  4. 2020ALLSTEPS: Curriculum-driven Learning of Stepping Stone Skillscited by 44
  5. 2020UniCon: Universal Neural Controller For Physics-based Character Motioncited by 39
  6. 2023Simulation and Retargeting of Complex Multi-Character Interactionscited by 32
  7. 2023QuestEnvSim: Environment-Aware Simulated Motion Tracking from Sparse Sensorscited by 26
  8. 2023Story-to-Motion: Synthesizing Infinite and Controllable Character Animation from Long Textcited by 15
  9. 2020Optimal Trajectory Planning for Cinematography with Multiple Unmanned Aerial Vehiclescited by 4

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