Rebecca Kramer-Bottiglio

収録論文 15本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• State and Trajectory Estimation of Tensegrity Robots via Factor Graphs and Chebyshev Polynomials
  2026/4/1
• CableRobotGraphSim: A Graph Neural Network for Modeling Partially Observable Cable-Driven Robot Dynamics
  2026/2/1
• Surrogate compliance modeling enables reinforcement learned locomotion gaits for soft robots
  2025/12/1
• An Open-Source, Reproducible Tensegrity Robot that can Navigate Among Obstacles
  2025/11/1
• Model-agnostic Meta-learning for Adaptive Gait Phase and Terrain Geometry Estimation with Wearable Soft Sensors
  2025/8/1
• Impact-resistant, autonomous robots inspired by tensegrity architecture
  2025/1/1
• Learning Differentiable Tensegrity Dynamics using Graph Neural Networks
  2024/10/1
• Stretchable Arduinos embedded in soft robots
  2024/9/1
• Real2Sim2Real Transfer for Control of Cable-driven Robots via a Differentiable Physics Engine
  2022/9/1
• 6N-DoF Pose Tracking for Tensegrity Robots
  2022/5/1
• Soft Lattice Modules that Behave Independently and Collectively
  2021/10/1
• Scale invariant robot behavior with fractals
  2021/3/1
• A soft robot that adapts to environments through shape change
  2020/8/1
• Scalable sim-to-real transfer of soft robot designs
  2019/11/1
• Automated shapeshifting for function recovery in damaged robots
  2019/5/1