Advancing humanoid locomotion: Mastering challenging terrains with denoising world model learning
Humanoid robots, with their human-like skeletal structure, are especially suited for tasks in
human-centric environments. However, this structure is accompanied by additional …
human-centric environments. However, this structure is accompanied by additional …
Humanoid Locomotion and Manipulation: Current Progress and Challenges in Control, Planning, and Learning
Humanoid robots have great potential to perform various human-level skills. These skills
involve locomotion, manipulation, and cognitive capabilities. Driven by advances in machine …
involve locomotion, manipulation, and cognitive capabilities. Driven by advances in machine …
Hierarchical optimization-based control for whole-body loco-manipulation of heavy objects
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 …
capabilities of these robots through the integration of articulated robotic arms. However …
Kinodynamics-based pose optimization for humanoid loco-manipulation
This paper presents a novel approach for controlling humanoid robots to push heavy
objects. The approach combines kinodynamics-based pose optimization and loco …
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 …
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
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 …
common approach in the control of a wheeled humanoid due to their less computational …
Kinodynamic Pose Optimization for Humanoid Loco-Manipulation
This paper presents a novel approach for controlling humanoid robots to push heavy
objects. The approach combines kinodynamic pose optimization and loco-manipulation …
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
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 …
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
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 …
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
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 …
common approach in the control of a wheeled humanoid due to their less computational …