TY - GEN
T1 - Towards code-aware robotic simulation
AU - Ore, John Paul
AU - Detweiler, Carrick
AU - Elbaum, Sebastian
N1 - Funding Information:
This work is supported by NSF CCF-1718040.
Publisher Copyright:
© 2018 ACM.
PY - 2018/5/28
Y1 - 2018/5/28
N2 - This vision paper explores the potential to dramatically enrich robotic simulations with insights gleaned from program analysis, and promises to be a key tool for future robot system developers to reduce effort and find tricky corner cases. Robotic simulations are a critical, cost-effective tool for developing, testing, and validating robotic software. However, most robotics simulations are intentionally unaware of how the code works. Our approach leverages two recent developments: 1) automatic program analysis that can semantically ground program variables and predicates in physical quantities like distance, velocity, or force; and 2) standardized simulation specifications that identify both what elements are simulated and also how they are simulated. Code-aware robotic simulation could enable robot system developers who increasingly rely on simulation to lower the cost and risk of system development by having access to richer simulation scenarios. We describe the approach using a detailed, step-by-step illustration for C++ using the Robot Operating System (ROS) and the Simulation Description Format (SDFormat), and identify key challenges to realizing this vision.
AB - This vision paper explores the potential to dramatically enrich robotic simulations with insights gleaned from program analysis, and promises to be a key tool for future robot system developers to reduce effort and find tricky corner cases. Robotic simulations are a critical, cost-effective tool for developing, testing, and validating robotic software. However, most robotics simulations are intentionally unaware of how the code works. Our approach leverages two recent developments: 1) automatic program analysis that can semantically ground program variables and predicates in physical quantities like distance, velocity, or force; and 2) standardized simulation specifications that identify both what elements are simulated and also how they are simulated. Code-aware robotic simulation could enable robot system developers who increasingly rely on simulation to lower the cost and risk of system development by having access to richer simulation scenarios. We describe the approach using a detailed, step-by-step illustration for C++ using the Robot Operating System (ROS) and the Simulation Description Format (SDFormat), and identify key challenges to realizing this vision.
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U2 - 10.1145/3196558.3196566
DO - 10.1145/3196558.3196566
M3 - Conference contribution
AN - SCOPUS:85051170321
T3 - Proceedings - International Conference on Software Engineering
SP - 40
EP - 43
BT - Proceedings 2018 ACM/IEEE 1st International Workshop on Robotics Software Engineering, RoSE 2018
PB - IEEE Computer Society
T2 - 1st ACM/IEEE International Workshop on Robotics Software Engineering, RoSE 2018, co-located with the 40th International Conference on Software Engineering, ICSE 2018
Y2 - 28 May 2018
ER -