Humanoid Robot Mode Switching with Stability-Gated Controllers
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Solution Overview
Problem
Humanoid robots transitioning between operational states face significant risks of kinetic instability, unintended environmental interactions, and task failures due to unmanaged or abrupt control handovers, posing safety hazards to the robot and its surroundings.
Innovation Solution
A system with stateless controllers and a mode manager that ensures safe transitions by verifying stability before mode changes, using a priority queue and stability checks, and employing a shared state object to manage operational domains dynamically, including a safe-fall mode as a fallback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a humanoid robot operates in multiple distinct operational states (autonomous, teleoperation, standby), then the robot's operational capabilities and versatility are improved, but the complexity of managing transitions between these states increases and safety risks arise
Solution Approach 1:
The control system is segmented into multiple independent stateless controllers, each responsible for a specific operational domain. This segmentation allows the robot to manage multiple operational states without increasing overall system complexity, as each controller operates independently within its defined domain.
Solution Approach 2:
A mode manager acts as an intermediary between the priority queue of controllers and the robot's actuators. This intermediary component coordinates transitions between operational states, managing the complexity of switching between autonomous, teleoperation, and standby modes while ensuring safety and stability.
2Speed
If the robot transitions abruptly between operational states, then the response time and speed of operation are improved, but kinetic instability and safety hazards increase
Solution Approach 1:
The system performs preliminary stability checks before allowing mode transitions to occur. The mode manager verifies that the robot is in a stable state before switching between operational modes, preventing abrupt transitions that could cause kinetic instability while maintaining fast response times.
Solution Approach 2:
The control system dynamically adjusts the selection of active controllers based on real-time robot state. The priority queue mechanism allows the system to adaptively switch between controllers whose operational domains match the current robot state, enabling smooth and stable transitions rather than abrupt changes.
3Device complexity
If a single controller manages all operational states, then the system structure is simplified, but the precision and reliability of state-specific control decrease
Solution Approach 1:
Each stateless controller is designed with local quality, being optimized for a specific operational domain rather than attempting to handle all states. This allows each controller to provide high-precision control for its designated state while the overall system maintains a relatively simple structure through the priority queue and mode manager.
Solution Approach 2:
The priority queue structure provides a universal framework that can accommodate multiple specialized controllers. This multi-functional architecture allows the system to integrate various state-specific controllers while maintaining a unified control mechanism through the mode manager.
4Ease of operation
If the robot allows unmanaged mode transitions, then the ease of operation and flexibility are improved, but the risk of unintended environmental interactions and task failures increases
Solution Approach 1:
The mode manager implements feedback mechanisms by continuously monitoring the robot's current state and the stability conditions before allowing mode transitions. This feedback ensures that only safe transitions are permitted, preventing unintended environmental interactions while maintaining operational flexibility.
Solution Approach 2:
The system applies preliminary anti-action by preventing potentially harmful mode transitions before they can occur. The stability checks and domain validation mechanisms block transitions that would lead to unintended environmental interactions or task failures, while still allowing legitimate mode changes.
Data Source
AI summary
The present disclosure provides a system for managing operational modes of a humanoid robot. The system comprises stateless controllers, each associated with a predefined operational domain defining a subset of robot state-space where the controller is valid. The system comprises composable modes with composable structures of stateless controllers arranged from highest to lowest priority. The system comprises a mode manager communicatively coupled to the stateless controllers and configured to, for each control cycle: iterate through the composable structure of an active composable mode from the highest-priority controller; select the first controller whose predefined operational domain includes the current robot state; and execute only the selected controller to control the humanoid robot for the control cycle duration.