荣登《Science Robotics》封面！大象机器人产品赋能科研突破

Core Insights - The article highlights the innovative applications of the myCobot robotic arm in various research fields, particularly in precision agriculture, robotics, and medical assistance, showcasing its high adaptability and cost-effectiveness [4][6][39]. Group 1: Precision Agriculture - A study from Cornell University developed a soft robotic leaf gripper using the myCobot arm, achieving over 91% success in injecting nanoparticles and genetic material into leaves with minimal damage, addressing traditional challenges in leaf surface injection [4]. - The myCobot robotic arm is being utilized in multiple prestigious universities globally, including Cornell University and Tokyo University, to enhance research efficiency and facilitate breakthrough results in plant bioengineering and high-throughput phenotyping [6]. Group 2: Robotics and Automation - A Tokyo University study introduced a hair styling robot system that uses image comparison to achieve high-precision hair styling, employing the myCobot 280 M5 for stable 3D trajectory execution [9]. - A Seoul National University research presented a dynamic inaudible frequency shift communication system for multi-robot collaboration, achieving over 97.5% communication accuracy in noisy environments without relying on WiFi or Bluetooth [12]. - A Michigan University study developed a multimodal explainability framework for autonomous mobile robots, enhancing human-robot trust through real-time environmental perception and behavior explanation [15]. Group 3: Food Manufacturing - A collaborative heterogeneous micro-robot 3D printer was developed to address challenges in multi-material food printing on curved surfaces, utilizing the myCobot 280 M5 to improve the consistency and integration of food inks [21]. Group 4: Medical Assistance - A self-learning robotic system based on deep imitation learning was introduced, capable of observing and mimicking human actions to assist medical professionals in tasks like drug delivery and patient support, utilizing the myCobot 280 Jetson Nano [39]. Group 5: Agricultural Automation - A system for autonomous blackberry picking was developed, integrating a soft pneumatic gripper and visual servoing with the myCobot Pro 320 arm, achieving a visual detection success rate of 98.4% and a grasping success rate of 76.6% [30]. - Research on a dual-arm humanoid robot focused on fruit localization and occlusion challenges in agriculture, demonstrating significant advancements in automation for dynamic environments [36]. Group 6: Collaborative Robotics - A study on heterogeneous three-robot collaboration for flexible handling proposed a reinforcement learning control method, significantly improving trajectory tracking accuracy and motion smoothness in complex environments [33].