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Advancements in Whole-Body Model Predictive Control for Dual-Arm Mobile Manipulation

Advancements in Whole-Body Model Predictive Control for Dual-Arm Mobile Manipulation

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.

RESEARCH ARTICLE
Cobot’s Proxie Gen 2 robot adds autotasking, mobile manipulation

Cobot’s Proxie Gen 2 robot adds autotasking, mobile manipulation

Cobot, led by founder and CEO Brad Porter, has unveiled its latest innovation, the Proxie Gen 2 robot, which enhances automation capabilities in material handling. This advanced robot is designed to autonomously assess when materials are ready for transport, pinpoint their destinations, and generate tasks without the need for human oversight. The introduction of Proxie Gen 2 marks a significant step forward in mobile manipulation technology, aiming to streamline operations in various industries. This development reflects Cobot's commitment to advancing robotic solutions that improve efficiency and reduce reliance on manual labor.

Artificial Intelligence Artificial Intelligence / Cognition Autonomous Mobile Robots (AMRs) Design / Development Healthcare Robotics Logistics
Locus Robotics Acquires Nexera Robotics, Advancing a Patented Breakthrough in Mobile Manipulation

Locus Robotics Acquires Nexera Robotics, Advancing a Patented Breakthrough in Mobile Manipulation

Locus Robotics has announced its acquisition of Vancouver-based Nexera Robotics, a move aimed at enhancing its capabilities in mobile manipulation. The acquisition, revealed on May 19, 2026, will integrate Nexera's patented NeuraGrasp™ technology into Locus's existing AI platform, significantly expanding the range of SKUs that the Locus Array can autonomously handle. This advancement is expected to open new categories and improve efficiency in warehouse operations, addressing challenges that have historically limited robotic picking capabilities. Rick Faulk, CEO of Locus Robotics, emphasized the importance of AI-driven mobile manipulation for the future of warehouse robotics, stating that the ability to efficiently grasp a wide variety of inventory is crucial for creating value in the coming decade. The NeuraGrasp™ technology combines AI intelligence, sensory inputs, and computer vision, allowing a single gripper to adapt to various item characteristics, thereby enhancing reliability in real-world warehouse conditions. The acquisition follows the successful launch of Locus Array at MODEX 2026, where it garnered significant market interest and recognition as a top innovation. With Nexera now wholly owned by Locus Robotics, the integration of NeuraGrasp™ is expected to accelerate the company's growth and broaden its market reach, positioning it at the forefront of the autonomous fulfillment industry.

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