DAVIS: A Depth-Only End-to-End Active-Vision Framework for Humanoid Soccer Skills

arXiv:2609.28175 · cs.RO · Submitted 2026-09-23 · Read on arXiv

cs.RO

Submitted: 2026-09-23

Updated: 2026-09-23

Comments: 16 pages, 15 figures. Project page: https://thusi-lab.github.io/DAVIS/

Project page: https://thusi-lab.github.io/DAVIS

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Actor — 45× in this paper · explained in 3 episodes
Ablation — 21× in this paper · explained in 1 episode
Active Vision — 14× in this paper · explained in 1 episode
Reinforcement Learning — 10× in this paper · explained in 4 episodes
Alignment — 8× in this paper · explained in 1 episode
Regularization — 7× in this paper · explained in 3 episodes
Benchmark — 5× in this paper · explained in 2 episodes
Deep Reinforcement Learning — 4× in this paper · explained in 2 episodes
Angular Error — 3× in this paper · explained in 1 episode
Consistency — 3× in this paper · explained in 3 episodes
Ablation Studies — 2× in this paper · explained in 1 episode
Generalization — 2× in this paper · explained in 13 episodes
Ablation study — 1× in this paper · explained in 1 episode
Accuracy — 1× in this paper · explained in 1 episode
Active Perception — 1× in this paper · explained in 2 episodes
Adaptation — 1× in this paper · explained in 1 episode
Aggregation — 1× in this paper · explained in 1 episode
Core — 1× in this paper · explained in 2 episodes
Fine-Tuning — 1× in this paper · explained in 5 episodes
International Conference on Robotics and Automation — 1× in this paper
Reward Function — 1× in this paper · explained in 2 episodes
Robustness — 1× in this paper · explained in 5 episodes
Sim-to-Real Transfer — 1× in this paper · explained in 2 episodes
Steering — 1× in this paper · explained in 2 episodes

Sources

HOVER: Versatile Neural Whole-Body Controller for Humanoid Robots

Related papers