Advancing humanoid locomotion: Mastering challenging terrains with denoising world model learning

X Gu, YJ Wang, X Zhu, C Shi, Y Guo, Y Liu… - arXiv preprint arXiv …, 2024 - arxiv.org
Humanoid robots, with their human-like skeletal structure, are especially suited for tasks in
human-centric environments. However, this structure is accompanied by additional …

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 …

Hierarchical optimization-based control for whole-body loco-manipulation of heavy objects

A Rigo, M Hu, SK Gupta… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
In recent years, the field of legged robotics has seen growing interest in enhancing the
capabilities of these robots through the integration of articulated robotic arms. However …

Kinodynamics-based pose optimization for humanoid loco-manipulation

J Li, Q Nguyen - arXiv preprint arXiv:2303.04985, 2023 - arxiv.org
This paper presents a novel approach for controlling humanoid robots to push heavy
objects. The approach combines kinodynamics-based pose optimization and loco …

A Hierarchical MPC for End-Effector Tracking Control of Legged Mobile Manipulators

D Wang, J Yu, S Wu, Z Li, C Li, R Xiong… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
This article presents a hierarchical model predictive control (MPC) framework for the end-
effector tracking control problem of a legged mobile manipulator. In the high-level part, a …

Toward Control of Wheeled Humanoid Robots with Unknown Payloads: Equilibrium Point Estimation via Real-to-Sim Adaptation

D Baek, Y Sim, A Purushottam… - 2024 IEEE/RSJ …, 2024 - ieeexplore.ieee.org
Model-based controllers using a linearized model around the system's equilibrium point is a
common approach in the control of a wheeled humanoid due to their less computational …

Kinodynamic Pose Optimization for Humanoid Loco-Manipulation

J Li, Q Nguyen - … IEEE-RAS 22nd International Conference on …, 2023 - ieeexplore.ieee.org
This paper presents a novel approach for controlling humanoid robots to push heavy
objects. The approach combines kinodynamic pose optimization and loco-manipulation …

Design and Control Co-Optimization for Dynamic Loco-Manipulation With a Robotic Arm on a Quadruped Robot

A Rigo, M Hu, J Ma, SK Gupta… - Journal of …, 2025 - asmedigitalcollection.asme.org
Research in quadrupedal robotics is transitioning to studies into loco-manipulation, featuring
fully articulated robotic arms mounted atop these robots. Integrating such arms enhances the …

Dynamic Bipedal Loco-manipulation using Oracle Guided Multi-mode Policies with Mode-transition Preference

P Ravichandar, L Krishna, N Sobanbabu… - arXiv preprint arXiv …, 2024 - arxiv.org
Loco-manipulation calls for effective whole-body control and contact-rich interactions with
the object and the environment. Existing learning-based control frameworks rely on task …

Real-to-Sim Adaptation via High-Fidelity Simulation to Control a Wheeled-Humanoid Robot with Unknown Dynamics

D Baek, Y Sim, A Purushottam, S Gupta… - arXiv preprint arXiv …, 2024 - arxiv.org
Model-based controllers using a linearized model around the system's equilibrium point is a
common approach in the control of a wheeled humanoid due to their less computational …