一个通用软机器人控制器,灵感来自神经元结构和塑料突触,适应各种手臂,任务和干扰
Zhiqiang Tang1,2,3, Liying Tian4, Wenci Xin1
1Department of Mechanical Engineering and Advanced Robotics Centre, National University of Singapore, Singapore.
Science advances
|January 7, 2026
概括
这项研究介绍了灵感来自神经元的软机器人的控制框架,增强了它们的自适应性学习. 新方法显著提高了软机器人手臂的跟踪精度和形状稳定性,可以在各种任务和具有挑战性的条件下进行跟踪.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 人工智能的人工智能
- 控制系统 控制系统
背景情况:
- 软机器人模仿人类的服从,但缺乏通用的自适应学习.
- 现有的控制方法与任务概括和未知的环境条件作斗争.
研究的目的:
- 为软机器人开发一种以神经元为灵感的控制框架,从而实现通用自适应学习.
- 提高软机器人系统在各种任务和干扰中适应性和稳定性.
主要方法:
- 采用了一种配对的线下线上分解策略.
- 使用"结构性突触" (线下) 编码任务无关特征,并通过使用"塑料突触" (在线) 通过错误关闭规则更新配置特定参数.
- 一个学习的收缩度量被整合为稳定性的恒温约束.
主要成果:
- 该框架在电缆驱动和形状记忆合金软臂上进行了验证,用于轨迹跟踪,选择和放置以及塑造任务.
- 与基线方法相比,跟踪误差减少了44-55%.
- 在各种有效载荷,空气流和执行器故障等干扰下,保持了超过92%的形状准确性.
结论:
- 拟议的框架为软机器人建立了一个可通用的控制器.
- 该方法表现出强大的适应各种软臂形态,任务和环境干扰.
- 这项工作促进了智能和适应性柔软机器人系统的发展.
相关概念视频
PD Controller: Design
611
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
611
Open and closed-loop control systems
1.6K
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
1.6K
Neural Control of Respiration
4.5K
The neural regulation of respiration is a meticulously coordinated process primarily controlled by the respiratory centers located within the brainstem. These centers, composed of specialized neurons, transmit nerve impulses that control the contraction and relaxation of our respiratory muscles.
Respiratory Centers in the Brainstem
Two primary areas comprise the respiratory center: the medullary respiratory center in the medulla oblongata and the pontine respiratory group in the pons. The...
Respiratory Centers in the Brainstem
Two primary areas comprise the respiratory center: the medullary respiratory center in the medulla oblongata and the pontine respiratory group in the pons. The...
4.5K
Neural Regulation
43.1K
Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
43.1K
Feedback control systems
685
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
685
Electro-mechanical Systems
1.6K
Electromechanical systems are intricate configurations that effectively combine electrical and mechanical elements to achieve a desired outcome. Central to many of these systems is the DC motor, a device that converts electrical energy into mechanical motion, enabling various applications ranging from simple fans to complex robotic mechanisms.
A key component of the DC motor is the armature, a rotating circuit positioned within a magnetic field. As an electric current passes through the...
A key component of the DC motor is the armature, a rotating circuit positioned within a magnetic field. As an electric current passes through the...
1.6K


