Humanoid Locomotion and Manipulation: Current Progress and Challenges in Control, Planning, and Learning

Z Gu, J Li, W Shen, W Yu, Z Xie, S McCrory… - arXiv preprint arXiv …, 2025 - arxiv.org
Humanoid robots have great potential to perform various human-level skills. These skills
involve locomotion, manipulation, and cognitive capabilities. Driven by advances in machine …

[HTML][HTML] A Review of Large Language Models: Fundamental Architectures, Key Technological Evolutions, Interdisciplinary Technologies Integration, Optimization and …

S Han, M Wang, J Zhang, D Li, J Duan - Electronics, 2024 - mdpi.com
Large language model-related technologies have shown astonishing potential in tasks such
as machine translation, text generation, logical reasoning, task planning, and multimodal …

Mppi-generic: A cuda library for stochastic optimization

B Vlahov, J Gibson, M Gandhi… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper introduces a new C++/CUDA library for GPU-accelerated stochastic optimization
called MPPI-Generic. It provides implementations of Model Predictive Path Integral control …

Learning Humanoid Locomotion with Perceptive Internal Model

J Long, J Ren, M Shi, Z Wang, T Huang, P Luo… - arXiv preprint arXiv …, 2024 - arxiv.org
In contrast to quadruped robots that can navigate diverse terrains using a" blind" policy,
humanoid robots require accurate perception for stable locomotion due to their high degrees …

SkillBlender: Towards Versatile Humanoid Whole-Body Control via Skill Blending

Y Kuang, A Elhafsi, H Geng, M Pavone… - CoRL 2024 Workshop on … - openreview.net
Humanoid robots hold significant potential in assisting humans across diverse environments
and tasks thanks to their flexibility and human-like morphology. However, whole-body …