Robotic Imaging Arm Force Control for Self-Collision Avoidance
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Solution Overview
Problem
Robotic imaging systems face challenges in avoiding self-collisions among their components, such as the camera unit with the robotic arm and storage unit, due to the complexity of multiple parts and components.
Innovation Solution
A robotic imaging system with a force-based sensor and controller that detects user-imparted force and torque, using a closed-loop control module to calculate correction forces to modify the movement sequence and avoid collisions by applying forces when approaching predefined buffer zones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple components (robotic arm, camera unit, storage unit) are integrated in a compact robotic imaging system, then the system becomes more versatile and space-efficient, but the risk of self-collisions between components increases
Solution Approach 1:
The system preemptively defines buffer zones around critical components (camera unit, storage unit, robotic arm segments) before collisions can occur. The controller continuously monitors component positions and applies correction forces to prevent entries into these buffer zones, addressing the collision risk before it materializes rather than reacting after contact occurs.
Solution Approach 2:
The patent introduces an intermediary force-based sensor system that acts as a mediator between the robotic arm's movement and the camera unit's position. When the robotic arm approaches the camera unit's buffer zone, the sensor detects the proximity and triggers a correction force that gently pushes the arm away, preventing direct contact while maintaining operational flexibility.
2Reliability
If force-based sensors and correction forces are implemented to prevent collisions, then component safety is improved, but the complexity of the control system increases
Solution Approach 1:
The system implements a feedback loop where force-based sensors continuously monitor the positions of robotic arm segments relative to predefined buffer zones. When a segment approaches a buffer zone, the controller receives this feedback and automatically applies correction forces to prevent entry. This closed-loop feedback mechanism ensures reliable collision avoidance while keeping the control logic relatively simple through clear if-then decision rules.
Solution Approach 2:
The patent replaces complex mechanical collision avoidance mechanisms (such as physical barriers, interlocks, or multi-sensor arrays) with a simpler force-based correction system. The correction forces are calculated and applied through the existing robotic arm's drive mechanisms, substituting elaborate mechanical safety systems with a more streamlined force-control approach that reduces overall system complexity.
3Reliability
If correction forces are applied to modify movement sequences, then collision prevention is achieved, but the operational speed and efficiency may be reduced
Solution Approach 1:
The system applies correction forces selectively and partially - only when and where needed to prevent buffer zone entries. Rather than continuously restraining the robotic arm throughout operation, the control system monitors positions and applies forces only during critical approach scenarios, allowing the arm to operate at full speed during safe movements while providing just enough correction to prevent collisions.
Solution Approach 2:
The correction forces serve as preliminary anti-actions that gently nudge the robotic arm away from potential collision paths before actual contact would occur. By applying small corrective forces in advance rather than large reactive forces after collision detection, the system maintains smoother, more efficient motion while still ensuring safety, minimizing disruptions to operational speed.
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 effectively prevents collisions by smoothly adjusting the movement sequence, ensuring safe and efficient operation of the robotic arm and camera, even in close proximity to potential collision zones.
Implementation Method 1
A force-based sensor is configured to detect and transmit sensor data related to at least one of force and/or torque imparted by a user for moving the camera
Implementation Method 2
The controller is adapted to selectively execute a collision avoidance mode, including applying a respective correction force to modify the movement sequence when at least one of the camera and the robotic arm enter a predefined buffer zone
Data Source
AI summary
A robotic imaging system includes a camera configured to obtain one or more images of a target site. A robotic arm is operatively connected to the camera, the robotic arm being adapted to selectively move the camera in a movement sequence. A force-based sensor is configured to detect and transmit sensor data related to at least one of force and/or torque imparted by a user for moving the camera. The system includes a controller configured to receive the sensor data. The controller has a processor and tangible, non-transitory memory on which instructions are recorded. The controller is adapted to selectively execute a collision avoidance mode, including applying a respective correction force to modify the movement sequence when the camera and/or the robotic arm enter a predefined buffer zone.


