Hybrid Vehicle Control Modes for Omnidirectional and Walking Motion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional motor vehicle control systems are inadequate for vehicles capable of both wheeled and walking motion, lacking the ability to provide control for omnidirectional movement and diverse use scenarios.
Innovation Solution
A hybrid vehicle system with leg-wheel components, sensors, and a vehicle control system that interprets external commands through sign language, follow mode, and touch mode, enabling advanced control modes such as sign mode, follow mode, and touch mode for controlling the vehicle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional motor vehicle control systems are used, then the vehicle can be controlled in traditional forward direction, but the system cannot provide control for omnidirectional movement and diverse use scenarios
Solution Approach 1:
The control system is designed to support multiple control modes (standard foot pedal control, sign language control, follow mode) within a single system, allowing it to adapt to different use scenarios and operator needs without requiring separate control systems for each mode
2Ease of operation
If sign language control mode is implemented, then the vehicle can be controlled in noisy environments without external devices, but the system complexity increases
Solution Approach 1:
The system uses onboard image sensors to capture and process sign language gestures, eliminating the need for external control devices. The control system processes the visual input directly to generate vehicle control commands, making the system self-sufficient in noisy environments where traditional auditory or external device control would fail
3Extent of automation
If follow mode is implemented, then the hybrid vehicle can autonomously follow a lead vehicle, but the control system complexity increases
Solution Approach 1:
The system uses image sensors as intermediaries to detect the lead vehicle and calculate relative position and distance. These sensors act as mediators between the physical environment (lead vehicle presence) and the control system, enabling autonomous following behavior through visual information processing
4Adaptability or versatility
If multiple control modes are integrated, then the vehicle can operate in diverse scenarios, but the ease of operation decreases due to mode selection complexity
Solution Approach 1:
The control system dynamically adapts between different control modes based on operational context and requirements. Rather than requiring manual mode selection, the system can transition between standard control, sign language control, and follow mode dynamically, with the control characteristics changing in response to operational needs
Data Source
AI summary
Systems and methods for controlling a hybrid vehicle are provided. The hybrid vehicle may comprise a chassis, a plurality of leg-wheel components coupled to the chassis, wherein the plurality of leg-wheel components may be configured to be collectively operable to provide wheeled locomotion and walking locomotion. The hybrid vehicle may comprise at least one sensor configured to receive one or more external commands during a supplementary control mode, and an external command interpreter configured to interpret the one or more external commands and direct a vehicle control system. The vehicle control system may be configured to control the hybrid vehicle to effectuate the one or more external commands.