TY - GEN
T1 - PlaMo
T2 - Workshops that were held in conjunction with the 18th European Conference on Computer Vision, ECCV 2024
AU - Hallak, Assaf
AU - Dalal, Gal
AU - Tessler, Chen
AU - Guo, Kelly
AU - Mannor, Shie
AU - Chechik, Gal
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - 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
AB - 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
UR - https://www.scopus.com/pages/publications/105007133055
U2 - 10.1007/978-3-031-92387-6_30
DO - 10.1007/978-3-031-92387-6_30
M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???
AN - SCOPUS:105007133055
SN - 9783031923869
T3 - Lecture Notes in Computer Science
SP - 442
EP - 463
BT - Computer Vision – ECCV 2024 Workshops, Proceedings
A2 - Del Bue, Alessio
A2 - Canton, Cristian
A2 - Pont-Tuset, Jordi
A2 - Tommasi, Tatiana
Y2 - 29 September 2024 through 4 October 2024
ER -