Zobrazeno 1 - 10
of 186
pro vyhledávání: '"Van de Panne, Michiel"'
Autor:
Tevet, Guy, Raab, Sigal, Cohan, Setareh, Reda, Daniele, Luo, Zhengyi, Peng, Xue Bin, Bermano, Amit H., van de Panne, Michiel
Motion diffusion models and Reinforcement Learning (RL) based control for physics-based simulations have complementary strengths for human motion generation. The former is capable of generating a wide variety of motions, adhering to intuitive control
Externí odkaz:
http://arxiv.org/abs/2410.03441
Legged locomotion holds the premise of universal mobility, a critical capability for many real-world robotic applications. Both model-based and learning-based approaches have advanced the field of legged locomotion in the past three decades. In recen
Externí odkaz:
http://arxiv.org/abs/2406.01152
Motion in-betweening, a fundamental task in character animation, consists of generating motion sequences that plausibly interpolate user-provided keyframe constraints. It has long been recognized as a labor-intensive and challenging process. We inves
Externí odkaz:
http://arxiv.org/abs/2405.11126
Avatars are important to create interactive and immersive experiences in virtual worlds. One challenge in animating these characters to mimic a user's motion is that commercial AR/VR products consist only of a headset and controllers, providing very
Externí odkaz:
http://arxiv.org/abs/2307.01938
Humans perform everyday tasks using a combination of locomotion and manipulation skills. Building a system that can handle both skills is essential to creating virtual humans. We present a physically-simulated human capable of solving box rearrangeme
Externí odkaz:
http://arxiv.org/abs/2306.09532
Policies produced by deep reinforcement learning are typically characterised by their learning curves, but they remain poorly understood in many other respects. ReLU-based policies result in a partitioning of the input space into piecewise linear reg
Externí odkaz:
http://arxiv.org/abs/2210.13611
Reinforcement Learning (RL) has seen many recent successes for quadruped robot control. The imitation of reference motions provides a simple and powerful prior for guiding solutions towards desired solutions without the need for meticulous reward des
Externí odkaz:
http://arxiv.org/abs/2210.01247
Brachiation is the primary form of locomotion for gibbons and siamangs, in which these primates swing from tree limb to tree limb using only their arms. It is challenging to control because of the limited control authority, the required advance plann
Externí odkaz:
http://arxiv.org/abs/2205.03943
Getting up from an arbitrary fallen state is a basic human skill. Existing methods for learning this skill often generate highly dynamic and erratic get-up motions, which do not resemble human get-up strategies, or are based on tracking recorded huma
Externí odkaz:
http://arxiv.org/abs/2205.00307
Vision Transformers (ViT) have recently demonstrated the significant potential of transformer architectures for computer vision. To what extent can image-based deep reinforcement learning also benefit from ViT architectures, as compared to standard c
Externí odkaz:
http://arxiv.org/abs/2204.04905