Advancements in Whole-Body Model Predictive Control for Dual-Arm Mobile Manipulation
- Published
- Source
- JournalofFieldRobotics
Recent research published in the Journal of Field Robotics discusses advancements in whole-body model predictive control for dual-arm mobile manipulation. This innovative approach enhances the efficiency and effectiveness of robotic systems in dynamic environments, allowing for improved compliance and adaptability during tasks.
The significance of this development lies in its potential to revolutionize how robots interact with their surroundings, particularly in complex scenarios where traditional control methods may fall short. By implementing this advanced control strategy, robots can better manage their movements and responses, leading to more successful task completion in real-world applications.
Looking ahead, the field of robotics may see increased adoption of whole-body model predictive control techniques, particularly in industries requiring high levels of dexterity and adaptability. As research continues to evolve, further insights and applications of this technology are anticipated, although no specific future milestones were disclosed at the time of publication.
Original report
Efficient Whole‐Body Model Predictive Control for Online Compliant Dual‐Arm Mobile Manipulation
JournalofFieldRobotics · Wenqian Du, Ran Long, João Moura, Jiayi Wang, Saeid Samadi, Sethu VijayakumarThis briefing is an independently written summary based on publicly available reporting and is provided for industry information and news discovery. The original report and source publication are credited and linked where applicable. RobotToday does not claim ownership of third-party source material.
Rights concerns? Contact [email protected] with the relevant URL and details. We will review the matter and take appropriate action where warranted.
More related news
-
1
SRS 2027 – Rome, Jun 23–27, 2027 RobotToday · 11 months from now
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10
- 11
- 12
Related Suppliers
Biomimetic Robotics Lab, MIT
United States
MIT Mechanical Engineering lab led by Prof. Sangbae Kim that created the Cheetah 3 and backflipping Mini Cheetah quadrupeds and the MIT Humanoid.
Luffy AI
United Kingdom
Culham, Oxfordshire deep-tech company building Neuroplastic AI control software with about 21-microsecond inference for robots, drives, and drones.
Robotic Systems & Technologies
United States
New York company automating hospital sterile processing with AIM machine vision; automates instrument tray assembly and peel pack packaging for SPDs.
Agile Robotic Systems
United States
Agile Robotic Systems builds fenceless robotic loading systems for CNC machine tools, deployable on any machine without robot programming.
ThoughtForge AI
United States
AI-powered robotic control platform using Active Inference for 99%+ accuracy in dynamic industrial environments.
Atlas Robotics
United States
US-based Physical AI company developing autonomous material handling robots including AI-powered pallet jacks and manipulation systems for warehouse operations.
Weave Robotics
United States
San Francisco startup making practical home robots; Isaac 0, a stationary laundry-folding robot, ships in California as of early 2026.
CosmicBrain AI
Physical AI firm scoping supervised humanoid pilots for data-center rack inspection and parts runs, and publishing the Cosmic 0.5 human-to-humanoid skill stack.
ADAXIS USA Inc.
France
French-founded software firm whose AdaOne platform turns industrial robot arms into large-scale multi-axis 3D printers and hybrid manufacturing cells.
Fundación IDONIAL
Spain
Asturian non-profit technology centre from the 2019 ITMA-PRODINTEC merger; contract R&D in robotics, machine vision, digital twins and 3D printing.
KAIST Hubo Lab (Humanoid Robot Research Center)
Korea, Republic of (South)
KAIST humanoid research centre that built HUBO and won the 2015 DARPA Robotics Challenge with DRC-HUBO+; it now develops a 3.25 m/s next-gen humanoid.
Dax Robotics (Beijing) Co., Ltd. 大咖机器人（北京）有限公司
China
Dax Robotics (Beijing, founded 2025) sells the 170cm, 26-DOF X7 Pro humanoid and X7 EDU for retail, logistics, and pharmacy-sorting pilots.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Join the RobotToday community on LinkedIn
Daily robotics news, in-depth analysis, conference highlights, and discussions with professionals worldwide.
