Bistatic Sensor Pattern Detection for Robot Collision Avoidance
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Solution Overview
Problem
Robotic devices face challenges in safely navigating environments with obstacles and people, as existing technologies lack effective methods for real-time object detection and adaptive control to prevent collisions.
Innovation Solution
A bistatic sensor apparatus with a transmitter and receiver component, configured to project and detect patterns using carrier waves, allowing for real-time object detection and adaptive control by analyzing reflected patterns to adjust robotic navigation and communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a robotic device operates in environments with obstacles and people, then the device can perform useful tasks, but the risk of collision and safety hazards increases
Solution Approach 1:
The system performs preliminary object detection by projecting patterns and analyzing reflected carrier waves before the robotic device moves into potential collision zones. This advance detection allows the device to plan safe trajectories and avoid obstacles and people proactively rather than reactively.
Solution Approach 2:
The system continuously monitors the environment by detecting reflected patterns from carrier waves and provides real-time feedback about object positions. This feedback loop enables dynamic adjustment of the robotic device's navigation to maintain safe operation in changing environments with obstacles and people.
2Reliability
If real-time object detection is implemented, then collision avoidance capability is improved, but system complexity and computational requirements increase
Solution Approach 1:
The system replaces complex mechanical sensing systems with an optical/electromagnetic approach using carrier waves and pattern detection. This substitution achieves real-time object detection with reduced mechanical complexity by utilizing wave propagation and reflection characteristics instead of physical sensors arrays.
Solution Approach 2:
The system creates a simplified representation of the environment by detecting patterns in reflected carrier waves. Instead of processing raw sensory data from multiple complex sensors, the system analyzes pattern distortions in the reflected waves, which provides sufficient information for collision avoidance with lower computational complexity.
3Reliability
If the robotic device adapts its trajectory in real-time, then safety is improved, but response time and control complexity increase
Solution Approach 1:
The system continuously maintains an updated model of the environment by constantly detecting reflected patterns, so when obstacles or people are detected, the trajectory adjustment can be made immediately without additional processing delay. The preliminary continuous monitoring eliminates the need for periodic scanning delays.
Solution Approach 2:
The system implements dynamic trajectory adaptation where the robotic device continuously adjusts its path based on real-time detected object positions. The control system modifies navigation parameters on-the-fly rather than using pre-planned static paths, enabling responsive safety adjustments while maintaining efficient motion through optimized dynamic control.
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
Enables robotic devices to safely navigate environments by detecting objects and adapting their trajectory to avoid collisions, improving operational efficiency and safety in dynamic settings.
Implementation Method 1
a transmitter component configured to project a pattern by irradiating a portion of an environment using a carrier wave
Implementation Method 2
a detector component configured to detect a reflected pattern of the carrier wave
Data Source
AI summary
Apparatus and methods for navigation of a robotic device configured to operate in an environment comprising objects and/or persons. Location of objects and/or persons may change prior and/or during operation of the robot. In one embodiment, a bistatic sensor comprises a transmitter and a receiver. The receiver may be spatially displaced from the transmitter. The transmitter may project a pattern on a surface in the direction of robot movement. In one variant, the pattern comprises an encoded portion and an information portion. The information portion may be used to communicate information related to robot movement to one or more persons. The encoded portion may be used to determine presence of one or more object in the path of the robot. The receiver may sample a reflected pattern and compare it with the transmitted pattern. Based on a similarity measure breaching a threshold, indication of object present may be produced.