Contact optimization for non-prehensile loco-manipulation via hierarchical model predictive control
Recent studies on quadruped robots have focused on either locomotion or mobile
manipulation using a robotic arm. However, legged robots can manipulate large objects …
manipulation using a robotic arm. However, legged robots can manipulate large objects …
Hierarchical adaptive loco-manipulation control for quadruped robots
M Sombolestan, Q Nguyen - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Legged robots have shown remarkable advantages in navigating uneven terrain. However,
realizing effective loco-motion and manipulation tasks on quadruped robots is still …
realizing effective loco-motion and manipulation tasks on quadruped robots is still …
Dynamic walking of bipedal robots on uneven stepping stones via adaptive-frequency MPC
This letter presents a novel Adaptive-frequency MPC framework for bipedal locomotion over
terrain with uneven stepping stones. In detail, we intend to achieve adaptive gait periods …
terrain with uneven stepping stones. In detail, we intend to achieve adaptive gait periods …
Dynamic Loco-manipulation on HECTOR: Humanoid for Enhanced ConTrol and Open-source Research
Despite their remarkable advancement in locomotion and manipulation, humanoid robots
remain challenged by a lack of synchronized loco-manipulation control, hindering their full …
remain challenged by a lack of synchronized loco-manipulation control, hindering their full …
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 …
Autotuning bipedal locomotion mpc with grfm-net for efficient sim-to-real transfer
Bipedal locomotion control is essential for humanoid robots to navigate complex, human-
centric environments. While optimization-based control designs are popular for integrating …
centric environments. While optimization-based control designs are popular for integrating …
Variable inertia model predictive control for fast bipedal maneuvers
This paper proposes a novel control framework for agile and robust bipedal locomotion,
addressing model discrepancies between full-body and reduced-order models. Specifically …
addressing model discrepancies between full-body and reduced-order models. Specifically …
[HTML][HTML] An MPC-DCM Control Method for a Forward-Bending Biped Robot Based on Force and Moment Control
Z Wei, W Deng, Z Feng, T Wang, X Huang - Electronics, 2024 - mdpi.com
For a forward-bending biped robot with 10 degrees of freedom on its legs, a new control
framework of MPC-DCM based on force and moment is proposed in this paper. Specifically …
framework of MPC-DCM based on force and moment is proposed in this paper. Specifically …
Hierarchical adaptive control for collaborative manipulation of a rigid object by quadrupedal robots
M Sombolestan, Q Nguyen - 2023 IEEE/RSJ International …, 2023 - ieeexplore.ieee.org
Despite the potential benefits of collaborative robots, effective manipulation tasks with
quadruped robots remain difficult to realize. In this paper, we propose a hierarchical control …
quadruped robots remain difficult to realize. In this paper, we propose a hierarchical control …
Continuous Dynamic Bipedal Jumping via Adaptive-model Optimization
Dynamic and continuous jumping remains an open yet challenging problem in bipedal robot
control. The choice of dynamic models in trajectory optimization (TO) problems plays a huge …
control. The choice of dynamic models in trajectory optimization (TO) problems plays a huge …