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• Learning from demonstration with model-based Gaussian process
  2019 · 20 citations
• A Riemannian Take on Human Motion Analysis and Retargeting
  2022 · 17 citations
• Bi-KVIL: Keypoints-based Visual Imitation Learning of Bimanual Manipulation Tasks
  2024 · 15 citations
• Bayesian Optimization Meets Riemannian Manifolds in Robot Learning
  2019 · 11 citations
• Learning to Sequence and Blend Robot Skills via Differentiable Optimization
  2022 · 7 citations
• On the Design of Region-Avoiding Metrics for Collision-Safe Motion Generation on Riemannian Manifolds
  2023 · 5 citations
• K-VIL: Keypoints-based Visual Imitation Learning
  2022 · 1 citations
• Transfer Learning in Robotics: An Upcoming Breakthrough? A Review of Promises and Challenges
  2023 · 1 citations
• Let the Dynamics Flow: Stable Flow Matching Dynamical Systems
  2026
• Symmetries Here and There, Combined Everywhere: Cross-space Symmetry Compositions in Robotics
  2026
• Towards Safe Imitation Learning via Potential Field-Guided Flow Matching
  2025
• Geometry-aware Manipulability Learning, Tracking and Transfer
  2018
• Tensor-variate Mixture of Experts for Proportional Myographic Control of a Robotic Hand
  2019
• Analysis and Transfer of Human Movement Manipulability in Industry-like Activities
  2020
• Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels
  2021