MRISA: A Visual Analytics Approach of Locomotion Policies Comparison for Robotics Training
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Date
2025
Publication Type
Conference Paper
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yes
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Abstract
In the field of robotics, the process of locomotion control policy training is inherently iterative and exploratory. Practitioners often switch between multiple simulation and data analysis tools to observe robot postures and behaviors, track part movements, and compare reward data, which is a tedious process. To better understand their hurdles and requirements, we interviewed five robotics experts and analyzed representative figures from recent robotics publications to identify prevailing challenges and strategies for comparing and communicating locomotion policies. The main challenges include the lack of integrated simulation and visualization, difficulty in comparing multiple policies simultaneously, and the time-intensive process of creating polished visual presentations. Based on the insights, we introduce MRISA (Multi-Robot Interactive Simulation and Analysis Platform), an interactive tool designed to support exploratory analysis on pre-trained locomotion policies. MRISA integrates features including direct observation of one or multiple robots' behaviors in a simulator, trajectories visualization with customized anchors, key measurement inspection in a timeline view, and key frames capturing. A user evaluation with 14 domain practitioners demonstrated that MRISA provides immediate insights, enabling practitioners to intuitively explore multiple dimensions of locomotion policies.
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Publication status
published
External links
Book title
GI '25: Proceedings of the 51st Graphics Interface Conference 2025
Journal / series
Volume
Pages / Article No.
8
Publisher
American Chemical Society
Event
51st Graphics Interface Conference (GI 2025)
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Methods
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Date created
Subject
Interactive Machine Learning; Robotics; Visual Analytics; Model Comparison