Core Viewpoint - The article discusses the ten major trends in embodied intelligent robots as presented at the 2025 World Robot Conference, emphasizing the integration of various technologies and interdisciplinary collaboration to enhance the capabilities and applications of these robots [2]. Group 1: Trends in Embodied Intelligent Robots - Trend 1: The synergy of physical practice, physical simulators, and world models drives embodied cognition, creating realistic training environments for robots [3][26]. - Trend 2: Multi-level end-to-end embodied decision-making enhances the generalization ability of robots in unstructured environments through the integration of multimodal large models and life sciences [5][29]. - Trend 3: The integration of model predictive control, reinforcement learning, and life sciences improves the adaptability and performance of embodied intelligent robots in dynamic environments [8][33]. Group 2: Design and Development - Trend 4: Generative AI facilitates the unified optimization of robot components, enabling the automatic exploration of optimal designs in physical simulators [10][36]. - Trend 5: Consistency between software and hardware is crucial, achieved through predefined interface specifications and joint simulation [12][39]. - Trend 6: A "manufacturing" approach for embodied intelligent robots integrates various R&D efforts, allowing for rapid design and high-quality system development [14][43]. Group 3: Data and Collaboration - Trend 7: The construction of large-scale, high-quality datasets enhances the capabilities of robots in morphological optimization and training efficiency [15][46]. - Trend 8: The development of robot swarms and their collaboration with humans focuses on improving safety and empathy, facilitating their integration into society [17][49]. - Trend 9: An interdisciplinary open community is essential for the advancement of embodied intelligent robots, promoting collaboration across various scientific fields [19][53]. Group 4: Safety and Ethics - Trend 10: Establishing safety assessment frameworks and ethical norms is vital for ensuring the reliability and safety of robots in complex environments [21][56].
【2025WRC】大会发布|具身智能机器人十大发展趋势
机器人圈·2025-08-09 00:47