Functional Co-Optimization of Articulated Robots
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Abstract (arXiv)
We present parametric trajectory optimization, a method for simultaneously computing physical parameters, actuation requirements, and robot motions for more efficient robot designs. In this scheme, robot dimensions, masses, and other physical parameters are solved for concurrently with traditional motion planning variables, including dynamically consistent robot states, actuation inputs, and contact forces. Our method requires minimal user domain knowledge, requiring only a coarse guess of the target robot configuration sequence and a parameterized robot topology as input. We demonstrate our results on four simulated robots, one of which we physically fabricated in order to demonstrate physical consistency. We demonstrate that by optimizing robot body parameters alongside robot trajectories, motion planning problems which would otherwise be infeasible can be made feasible, and actuation requirements can be significantly reduced.
Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). First posted on arXiv 20 Jul 2017.
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Citing papers per year: 2021: 3; 2022: 0; 2023: 2; 2024: 3; 2025: 1; 2026: 2.
11 papers.
- 2021An End-to-End Differentiable Framework for Contact-Aware Robot Designcited by 54
- 2023Efficient automatic design of robotscited by 14
- 2024NeuralFluid: Neural Fluidic System Design and Control with Differentiable Simulationcited by 10
- 2021DiffAqua: A Differentiable Computational Design Pipeline for Soft Underwater Swimmers with Shape Interpolationcited by 9
- 2023Reinforcement learning for freeform robot designcited by 8
- 2021Efficient Hyperparameter Optimization for Physics-based Character Animationcited by 5
- 2024Task2Morph: Differentiable Task-inspired Framework for Contact-Aware Robot Designcited by 4
- 2025Embodied Co-Design for Rapidly Evolving Agents: Taxonomy, Frontiers, and Challengescited by 4
- 2026BRIDGE: An Open-Source Humanoid Platform via Morphology-Control Co-Design for Physical AIcited by 1
- 2024Solving Vision Tasks with Simple Photoreceptors Instead of Camerascited by 0
- 2026Co-design Gym: A Unified Benchmark for Embodiment-Policy Co-optimizationcited by 0
- 2026Co-design Gym: A Unified Benchmark for Embodiment-Policy Co-optimization1 Oct 2026
- 2026BRIDGE: An Open-Source Humanoid Platform via Morphology-Control Co-Design for Physical AI3 Sep 2026
- 2025Embodied Co-Design for Rapidly Evolving Agents: Taxonomy, Frontiers, and Challenges4 Dec 2025
- 2024Solving Vision Tasks with Simple Photoreceptors Instead of Cameras17 Jun 2024
- 2024NeuralFluid: Neural Fluidic System Design and Control with Differentiable Simulation22 May 2024
- 2024Task2Morph: Differentiable Task-inspired Framework for Contact-Aware Robot Design28 Mar 2024
- 2023Reinforcement learning for freeform robot design9 Oct 2023
- 2023Efficient automatic design of robots5 Jun 2023
- 2021An End-to-End Differentiable Framework for Contact-Aware Robot Design15 Jul 2021
- 2021Efficient Hyperparameter Optimization for Physics-based Character Animation26 Apr 2021
- 2021DiffAqua: A Differentiable Computational Design Pipeline for Soft Underwater Swimmers with Shape Interpolation2 Apr 2021