Humanoid locomotion and manipulation: Current progress and challenges in control, planning, and learning

Z Gu, J Li, W Shen, W Yu, Z **e, 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 …

Multicontact motion retargeting using whole-body optimization of full kinematics and sequential force equilibrium

Q Rouxel, K Yuan, R Wen, Z Li - IEEE/ASME Transactions on …, 2022 - ieeexplore.ieee.org
This article presents a multicontact motion adaptation framework that enables teleoperation
of high degree-of-freedom robots, such as quadrupeds and humanoids, for loco …

Motion Capture-Based Robotic Imitation: A Keyframeless Implementation Method Using Multivariate Empirical Mode Decomposition

R Dong, Q Chang, MJ Er, J Zhong… - … /ASME Transactions on …, 2024 - ieeexplore.ieee.org
Robotic imitation faces challenges due to the lack of nuanced movements when employing
keyframe methods, which can potentially lead to the uncanny valley effect due to constraints …

Real-Time Implementation of State-Feedback Learning Framework for Bipedal Locomotion Over Undulating Surfaces

B Singh, R Kumar, AS Al-Sumaiti… - IEEE/ASME …, 2024 - ieeexplore.ieee.org
This article reports a unique state-feedback learning framework for the locomotion of a biped
robot over undulating surfaces. The proposed framework has two main components: 1) Gait …

Com shifter and body rotator for step-by-step teleoperation of bipedal robots

Y Zhang, R Kikuuwe - IEEE Access, 2023 - ieeexplore.ieee.org
This paper presents a controller for step-by-step teleoperation of bipedal robots, in which the
user commands the robot's foot motions in a step-by-step manner through a pair of handheld …

[HTML][HTML] Real-Time Stylized Humanoid Behavior Control through Interaction and Synchronization

Z Cao, T Bao, Z Ren, Y Fan, K Deng, W Jia - Sensors, 2022 - mdpi.com
Restricted by the diversity and complexity of human behaviors, simulating a character to
achieve human-level perception and motion control is still an active as well as a challenging …

Motion Imitation for Monocular Videos

P Nandal - Examining the Impact of Deep Learning and IoT on …, 2021 - igi-global.com
This work represents a simple method for motion transfer (ie, given a source video of a
subject [person] performing some movements or in motion, that movement/motion is …