Robotic Upper Trunk Support With Variable Stiffness Control
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Solution Overview
Problem
Current robotic devices for trunk training fail to effectively handle human-machine interactions, particularly in terms of support force control and joint misalignments, which hinders effective trunk stabilization training for patients with impairment.
Innovation Solution
A robotic upper trunk support system (ROBUTS) utilizing a parallel elastic actuator with a passive cam-spring mechanism for baseline support force and an active control module for force adjustment, combined with a four-bar linkage mechanism to avoid joint misalignment, and a stiffness control module using a planetary gear set and stepper motor for modulating stiffness based on patient muscle strength.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If a robotic device provides rigid support for trunk training, then structural stability is improved, but compliance with patient movement and adaptability to varying muscle strength deteriorates
Solution Approach 1:
The patent implements a variable stiffness actuator that dynamically adjusts the support stiffness based on patient muscle strength and training phase. The actuator transitions between rigid and compliant states, allowing the system to maintain structural stability when needed while adapting to patient movement requirements. This is achieved through real-time control of the actuator's stiffness parameter, enabling the robotic device to behave as a rigid support structure during stable phases and as a compliant partner during movement phases.
Solution Approach 2:
The system changes the physical parameter of stiffness in the actuator to resolve the contradiction. By varying the stiffness parameter according to patient conditions and training objectives, the system achieves both structural stability and movement compliance. The stiffness parameter is adjusted based on feedback from sensors measuring patient muscle strength and movement characteristics, allowing the device to adapt its mechanical properties in real-time.
2Measurement precision
If a robotic device uses complex force control mechanisms, then support force accuracy is improved, but device complexity increases
Solution Approach 1:
The patent employs feedback control where sensors continuously measure patient muscle strength, movement velocity, and position. This information is fed back to the controller, which adjusts the actuator output force in real-time to maintain accurate support. The feedback loop enables precise force control without requiring overly complex mechanical mechanisms, as the accuracy is achieved through intelligent control rather than mechanical complexity.
Solution Approach 2:
The variable stiffness actuator incorporates integrated sensors and control electronics that enable it to autonomously adjust its behavior based on patient conditions. The actuator essentially serves itself by using its own sensor data to regulate its output, reducing the need for external complex control systems while maintaining high force accuracy.
3Reliability
If a robotic device provides high support force, then patient safety is improved, but training effectiveness deteriorates due to reduced patient effort
Solution Approach 1:
The patent applies partial action by providing just enough support force to ensure patient safety without fully bearing the patient's weight. The variable stiffness actuator dynamically adjusts the support level, providing high force when safety is at risk but reducing force to allow patient effort during appropriate training phases. This partial support approach maintains safety while preserving training effectiveness by requiring appropriate patient engagement.
Solution Approach 2:
The system dynamically adjusts the support force level based on real-time assessment of patient capability and training objectives. During phases where patient effort is desired, the actuator reduces support force to challenge the patient. During phases where safety is paramount or patient fatigue is detected, the actuator increases support force. This dynamic adjustment resolves the contradiction between safety and training effectiveness.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system provides customized and compliant assistance, improving trunk stabilization training by actively adjusting support forces and ensuring accurate output torque control, thereby enhancing patient interaction and training effectiveness.
Implementation Method 1
a spring biasing the cam follower toward the cam
Implementation Method 2
a cam fixed to a cam shaft coupled to the base frame, a cam follower coupled to the base frame and biased toward the cam
Implementation Method 3
a sun gear fixed to the cam shaft, a planetary gear coupled to the output link of the connection module and meshed with the sun gear, a ring gear meshed with the planetary gear
Implementation Method 4
an electric machine coupled to the ring gear to rotate the ring gear to increase a stiffness of the upper trunk training system
Data Source
AI summary
An upper trunk training system may include a connection module including an actuation link configured to be coupled to a user's trunk, an output link coupled to the actuation link, and a base frame configured to be coupled to the user's trunk. An upper trunk training system may include a variable stiffness module including a cam fixed to a cam shaft coupled to the base frame, a cam follower coupled to the base frame and biased toward the cam. An upper trunk training system may include a stiffness control module including a sun gear fixed to the cam shaft, a planetary gear coupled to the output link of the connection module and meshed with the sun gear, a ring gear meshed with the planetary gear, and an electric machine coupled to the ring gear to rotate the ring gear to increase a stiffness of the upper trunk training system.


