Rapid-Prototyped Laminate Robots for Adaptive Locomotion
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Solution Overview
Problem
Robotic devices face challenges in navigating challenging environments like sandy deserts due to inaccuracies in simulations used for locomotion strategy development, which require prior knowledge of ground composition and are time-consuming, leading to discrepancies between simulated and real-world performance.
Innovation Solution
A combination of rapid prototyping and sample-efficient reinforcement learning methods for robotic device design, allowing for swift adaptation to environmental changes and efficient learning of locomotion policies, using laminate robotic devices with interchangeable fins and the Group Factor Policy Search algorithm to optimize locomotion strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If simulations are used to develop locomotion strategies, then development time is reduced, but accuracy of performance prediction deteriorates due to approximations and lack of prior ground composition knowledge
Solution Approach 1:
The patent applies preliminary action by pre-fabricating multiple robot prototypes with different morphologies using rapid prototyping techniques before deployment. This allows the system to have ready-made variations that can be quickly swapped out during field testing, eliminating the need for extensive simulation and iterative manufacturing in the field. The preliminary preparation of multiple designs resolves the contradiction by enabling fast physical testing without requiring accurate prior simulations.
Solution Approach 2:
The patent implements dynamics through interchangeable morphological components and reconfigurable robot designs. This allows the robot system to dynamically adapt its physical configuration based on real-world performance feedback rather than relying on fixed simulation-based designs. The dynamic reconfiguration capability enables rapid adaptation to actual environmental conditions, improving prediction accuracy while maintaining fast development cycles.
2Reliability
If traditional physical testing is used to guide robot design, then accuracy of design validation is improved, but time consumption and material deterioration increase
Solution Approach 1:
The patent applies segmentation by dividing the robot into modular components with standardized interfaces, particularly focusing on interchangeable morphological elements. This modular architecture allows individual components to be tested and validated separately through rapid prototyping, then assembled into complete systems. The segmentation enables accurate design validation through physical testing of specific components without requiring complete system re-manufacturing, thus reducing overall testing time while maintaining validation reliability.
Solution Approach 2:
The patent implements discarding and recovering by using rapid prototyping to create inexpensive, disposable test prototypes that can be quickly fabricated, tested, and replaced. Rather than repeatedly testing and repairing expensive traditional robot designs, the system discards failed prototypes and recovers successful designs for further development. This approach maintains high design validation accuracy through physical testing while dramatically reducing time consumption and material deterioration costs.
3Productivity
If rapid prototyping is used to manufacture robotic devices, then iteration speed is improved, but manufacturing complexity increases due to multi-material laminate fabrication
Solution Approach 1:
The patent applies universality by developing a standardized rapid prototyping platform with universal interfaces and common manufacturing processes that can produce multiple different robot morphologies. The multi-material laminate fabrication system is designed as a universal platform capable of creating various component types (body sections, limbs, sensors mounts) using the same base technology. This universality enables fast iteration across different designs without requiring separate manufacturing setups for each morphology, thus improving productivity while managing manufacturing complexity through standardization.
Data Source
AI summary
Various embodiments for fast prototyping of morphologies and controllers related to locomotion for a robotic device are disclosed.