Sensor Observability Index: Evaluating Sensor Alignment for Task-Space Observability in Robotic Manipulators
Christopher Yee Wong, Wael Suleiman

TL;DR
This paper introduces a sensor observability index to evaluate how well distributed sensors in robotic manipulators can observe specific task-space axes, highlighting the importance of sensor alignment and configuration for effective sensing.
Contribution
It proposes a novel sensor observability index that generalizes traditional kinematic analysis to assess sensor performance and configuration in robotic manipulators.
Findings
Sensor observability correlates with robot configuration and sensor alignment.
Proper sensor observability is crucial for accurate physical interaction.
Sensor observability analysis can identify unobservable axes in task space.
Abstract
In this paper, we propose a preliminary definition and analysis of the novel concept of sensor observability index. The goal is to analyse and evaluate the performance of distributed directional or axial-based sensors to observe specific axes in task space as a function of joint configuration in serial robot manipulators. For example, joint torque sensors are often used in serial robot manipulators and assumed to be perfectly capable of estimating end effector forces, but certain joint configurations may cause one or more task-space axes to be unobservable as a result of how the joint torque sensors are aligned. The proposed sensor observability provides a method to analyse the quality of the current robot configuration to observe the task space. Parallels are drawn between sensor observability and the traditional kinematic Jacobian for the particular case of joint torque sensors in…
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Taxonomy
TopicsRobotic Mechanisms and Dynamics · Robot Manipulation and Learning · Soft Robotics and Applications
