好的旧式工程可以弥合机器人领域的10万年"数据差距"
1Ken Goldberg is the president of the Robot Learning Foundation, Mill Valley, CA, USA; chair of the Berkeley AI Research (BAIR) Lab Steering Committee, Berkeley, CA, USA; a cofounder of Ambi Robotics, Berkeley, CA, USA and Jacobi Robotics, Emeryville, CA, USA; and the William S. Floyd distinguished chair of engineering at UC Berkeley, Berkeley, CA, USA.
Science robotics
|August 27, 2025
概括
传统的工程和基于模型的方法可以有效地启动基于学习的机器人系统. 这种方法为开发先进的机器人能力和应用提供了坚实的基础.
科学领域:
- 机器人技术
- 人工智能
- 控制系统
背景情况:
- 基于学习的机器人系统通常需要大量的数据和计算资源进行初始训练.
- 传统的方法,如基于模型的控制和工程设计,为机器人开发提供了结构化的方法.
相关概念视频
01:14Mechanical Efficiency of Real Machines
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The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
However, in reality, no machine can be truly ideal, and all of them experience some...
However, in reality, no machine can be truly ideal, and all of them experience some...
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01:22Mechanical Systems
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Mechanical systems are analogous to to electrical networks where springs and masses play similar roles to inductors and capacitors, respectively. A viscous damper in mechanical systems functions similarly to a resistor in electrical networks, dissipating energy. The forces acting on a mass in such systems include an applied force in the direction of motion, counteracted by forces from the spring, a viscous damper, and the mass's acceleration. This interplay of forces is mathematically...
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