Test and Evaluation of Quadrupedal Walking Gaits through Sim2Real Gap Quantification
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Abstract (arXiv)
In this letter, the authors propose a two-step approach to evaluate and verify a true system's capacity to satisfy its operational objective. Specifically, whenever the system objective has a quantifiable measure of satisfaction, i.e. a signal temporal logic specification, a barrier function, etc - the authors develop two separate optimization problems solvable via a Bayesian Optimization procedure detailed within. This dual approach has the added benefit of quantifying the Sim2Real Gap between a system simulator and its hardware counterpart. Our contributions are twofold. First, we show repeatability with respect to our outlined optimization procedure in solving these optimization problems. Second, we show that the same procedure can discriminate between different environments by identifying the Sim2Real Gap between a simulator and its hardware counterpart operating in different environments.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 20 of its 37 references that are in the map. First posted on arXiv 4 Jan 2022.
Builds on
20 of 37 references.
References · 20
- 2017CARLA: An Open Urban Driving Simulatorcited by 2,431
- 2017Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real Worldcited by 1,401
- 2018Learning Dexterous In-Hand Manipulationcited by 643
- 2018Gibson Env: Real-World Perception for Embodied Agentscited by 477
- 2017On Kernelized Multi-armed Banditscited by 348
- 2016Control Barrier Function Based Quadratic Programs for Safety Critical Systemscited by 261
- 2016CAD2RL: Real Single-Image Flight without a Single Real Imagecited by 227
- 2017Cognitive Mapping and Planning for Visual Navigationcited by 209
- 2016Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Roboticscited by 134
- 2018Sim-to-Real Reinforcement Learning for Deformable Object Manipulationcited by 124
- 2015Safe Controller Optimization for Quadrotors with Gaussian Processescited by 77
- 2020A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systemscited by 71
8 more
- 2017MINOS: Multimodal Indoor Simulator for Navigation in Complex Environmentscited by 66
- 2018High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groupscited by 58
- 2019Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Realcited by 39
- 2016Towards Verified Artificial Intelligencecited by 36
- 2017Virtual vs. Real: Trading Off Simulations and Physical Experiments in Reinforcement Learning with Bayesian Optimizationcited by 33
- 2018Verifying Controllers Against Adversarial Examples with Bayesian Optimizationcited by 7
- 2021Verifying Safe Transitions between Dynamic Motion Primitives on Legged Robotscited by 3
- 2021Learning Performance Bounds for Safety-Critical Systemscited by 1
Built on by
Citing papers per year: 2022: 1.
1 paper.
- 2022Learning Torque Control for Quadrupedal Locomotioncited by 22
- 2022Learning Torque Control for Quadrupedal Locomotion10 Mar 2022