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数据困局下的具身智能,谁能率先破局?
机器之心· 2025-08-10 01:30
机器之心PRO · 会员通讯 Week 32 --- 本周为您解读 ② 个值得细品的 AI & Robotics 业内要事 --- 1. 数据困局下的具身智能,谁能率先破局? 真实数据是否注定是通用机器人的必经之路?合成数据是否永远只能「补量」?遥操作作为当前最直接的数据采集方式,能否 在控制效率和扩展能力之间找到可持续平衡?Sim2Real 的大规模部署是否需要一种「标准化仿真」平台?在多模态遥操作系统 中,语言 + 手势 + 触觉的融合是否意味着人类操控门槛正在被技术主动下探?... 2. OpenAI 董事会主席:「按 token 计费」大错特错!市场终将选择「按成果付费」 Bret Taylor 为何称「应用 AI」才是创业者的生路?「长尾 Agent 公司」将如何取代传统 SaaS?「按 token 计费」有什么根本 缺陷?为什么 AI 市场终将选择「按成果付费」?结果导向的商业模式如何适应当前的 AI 缺陷?Bret Taylor 的商业模式在 Sierra 实践效果如何?什么是 AI 编程的新范式?... 本期完整版通讯含 2 项专题解读 + 30 项 AI & Robotics 赛道要事速递, ...
具身数采方案一览!遥操作和动捕的方式、难点和挑战(2w字干货分享)
自动驾驶之心· 2025-07-10 12:40
Core Viewpoint - The article discusses the significance of remote operation (遥操作) in the context of embodied intelligence, emphasizing its historical roots and contemporary relevance in robotics and data collection [3][15][17]. Group 1: Understanding Remote Operation - Remote operation is not a new concept; it has been around for decades, primarily in military and aerospace applications [8][10]. - Examples of remote operation include surgical robots and remote-controlled excavators, showcasing its practical applications [8][10]. - The ideal remote operation involves spatial separation, allowing operators to control robots from a distance, thus creating value through this separation [10][15]. Group 2: Remote Operation Experience - Various types of remote operation experiences were shared, with a focus on the comfort level of different methods [19][20]. - The most comfortable method identified is pure visual inverse kinematics (IK), which allows for greater freedom of movement compared to rigid control systems [30][28]. Group 3: Future of Remote Operation - The discussion includes visions for future remote operation systems, highlighting the need for a complete control loop involving both human-to-machine and machine-to-human interactions [33][34]. - The potential for pure virtual and pure physical solutions was explored, suggesting that future systems may integrate both approaches for optimal user experience [37][39]. Group 4: Data Collection and Its Importance - Remote operation is crucial for data collection, which is essential for training robots to mimic human actions [55][64]. - The concept of "borrowing to repair the truth" was introduced, indicating that advancements in remote operation are driven by the need for better data collection in robotics [64][65]. Group 5: Implications for Robotics - The emergence of the "robot cockpit" concept indicates a trend towards more intuitive control systems for robots, integrating various functionalities into a cohesive interface [67][70]. - The challenges of controlling multiple joints in robots were discussed, emphasizing the need for innovative hardware and interaction designs to manage complex operations [68][70]. Group 6: Motion Capture and Its Challenges - Motion capture systems are essential for remote operation, but they face challenges such as precision and the need for complex setups [93][95]. - The discussion highlighted the importance of human adaptability in using motion capture systems, suggesting that users can adjust to various input methods effectively [80][81]. Group 7: ALOHA System Innovations - The ALOHA system represents a significant innovation in remote operation, focusing on minimal hardware configurations and end-to-end algorithm frameworks [102][104]. - This system has prompted the industry to rethink robot design and operational paradigms, indicating its potential long-term impact [103][104].
具身数采方案一览!遥操作和动捕的方式、难点和挑战(2w字干货分享)
具身智能之心· 2025-07-09 14:38
Core Viewpoint - The discussion focuses on the concept of remote operation (遥操作) in the context of embodied intelligence, exploring its significance, advancements, and future potential in robotics and human-machine interaction [2][15][66]. Group 1: Definition and Importance of Remote Operation - Remote operation is not a new concept; it has historical roots in military and aerospace applications, but its relevance has surged with the rise of embodied intelligence [5][15]. - The emergence of embodied intelligence has made remote operation crucial for data collection and human-robot interaction, transforming it into a mainstream approach [17][66]. - The concept of remote operation is evolving, with discussions on how it can enhance human capabilities and provide a more intuitive interface for controlling robots [15][66]. Group 2: Experiences and Challenges in Remote Operation - Various types of remote operation experiences were shared, including surgical robots and remote-controlled excavators, highlighting the diversity of applications [6][21]. - The challenges of remote operation include latency issues, the complexity of control, and the need for intuitive human-machine interfaces [34][69]. - The discussion emphasized the importance of minimizing latency in remote operation systems to enhance user experience and operational efficiency [34][56]. Group 3: Future Directions and Innovations - The future of remote operation may involve a combination of virtual and physical solutions, such as using exoskeletons for realistic feedback and pure visual systems for ease of use [38][40]. - Innovations like the ALOHA system are prompting the industry to rethink robot design and operational frameworks, potentially leading to significant advancements in remote operation technology [103][106]. - The integration of brain-machine interfaces could represent the ultimate solution for overcoming current limitations in remote operation, allowing for seamless communication between humans and machines [37][99].
【万字长文】独家圆桌对话:具身下一站,我们究竟需要怎样的本体?
具身智能之心· 2025-06-24 14:09
Group 1 - The roundtable discussion focuses on the configurations of embodied intelligence and robotic arms, emphasizing the need for a deeper understanding of mechanical arm designs and their applications in various tasks [4][14][25] - Key topics include the practical experiences of guests with different robotic arm configurations, the requirements for robotic arms in terms of degrees of freedom, and the implications of these choices on technical routes and cost [4][14][25] - The discussion highlights the differences between six-axis and seven-axis robotic arms, addressing their respective advantages and disadvantages in specific use cases [27][29][41] Group 2 - The guests share insights on the importance of mechanical arm design in enhancing human-robot interaction, particularly in remote operation scenarios [8][36][41] - The conversation touches on the challenges posed by singularities in six-axis configurations and how seven-axis designs can mitigate these issues [40][47] - The role of human-like configurations in improving the usability and effectiveness of robotic arms is emphasized, suggesting that designs closer to human anatomy may facilitate better control and learning [30][35][38] Group 3 - The roundtable also discusses the trade-offs between simplicity and complexity in robotic arm designs, with a focus on how these choices impact data consistency and model training [34][52][58] - The guests explore the potential for using neural networks to enhance the performance of robotic arms, particularly in predicting trajectories and addressing singularities [40][57] - The conversation concludes with a reflection on the future of robotic arm development, suggesting that the industry may gravitate towards either simplified or human-like configurations based on task requirements [58][59]
【圆桌正当时】机器人不能没有方向盘,你的遥操够丝滑吗?
具身智能之心· 2025-06-20 00:44
Core Viewpoint - The article discusses the evolution of remote operation (遥操) and embodied intelligence, emphasizing the shift from rule-based to data-driven paradigms in robotics, which has led to significant advancements in the industry [3][4]. Group 1: Evolution of Technology - Embodied intelligence is not a new concept, having originated in the 1950s, but it has gained prominence recently due to advancements in Robot Learning, allowing for tasks previously difficult to automate, such as folding clothes and tying shoelaces [3]. - The robotics industry is transitioning from a rule-driven automation era to a human-machine symbiosis era, akin to the transition from horse-drawn carriages to automobiles [4]. Group 2: Current Industry Landscape - The current state of robotics lacks standardized operating systems and frameworks, similar to early mobile phones before the advent of Android, indicating a need for a mature operating system for embodied robots [4]. - The emergence of large models has propelled the robotics industry forward, creating a more diverse supply chain and paving the way for new product categories [4]. Group 3: Future Directions - The commercial realization of robotics requires not only fully autonomous solutions but also a gradual implementation strategy, suggesting the need for a new operating system for embodied robots, referred to as ROS3.0 [5]. - The article invites discussion on the effectiveness of current remote operation systems, the ideal hardware and software for embodied robots, and the design of user interactions [5].