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  3. Efficient and Versatile Quadrupedal Skating: Optimal Co-desi
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Efficient and Versatile Quadrupedal Skating: Optimal Co-design via Reinforcement Learning and Bayesian Optimization

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Viability
0.0/10

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Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: no_code

Distribution: unknown

Source paper: Efficient and Versatile Quadrupedal Skating: Optimal Co-design via Reinforcement Learning and Bayesian Optimization

PDF: https://arxiv.org/pdf/2603.18408v1

First buyer signal: unknown

Distribution channel: unknown

Last proof check: 2026-03-31T20:30:20.275835+00:00

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Dimensions overall score 3.0

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Prior Work
Predictive Control with Indirect Adaptive Laws for Payload Transportation by Quadrupedal Robots
Score 3.0stable
Higher Viability
Chasing Autonomy: Dynamic Retargeting and Control Guided RL for Performant and Controllable Humanoid Running
Score 7.0up
Higher Viability
BAT: Balancing Agility and Stability via Online Policy Switching for Long-Horizon Whole-Body Humanoid Control
Score 7.0up
Higher Viability
SmoothTurn: Learning to Turn Smoothly for Agile Navigation with Quadrupedal Robots
Score 7.0up
Higher Viability
CycleRL: Sim-to-Real Deep Reinforcement Learning for Robust Autonomous Bicycle Control
Score 8.0up
Higher Viability
PCHC: Enabling Preference Conditioned Humanoid Control via Multi-Objective Reinforcement Learning
Score 7.0up
Higher Viability
Learning Quadruped Walking from Seconds of Demonstration
Score 7.0up
Competing Approach
A Physical Imitation Learning Pipeline for Energy-Efficient Quadruped Locomotion Assisted by Parallel Elastic Joint
Score 3.0stable

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