Lionel Ott

ETH Zurich

収録論文 57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

• 空中レイアウト：天井への精密な飛行中マーキングのためのコンプライアントでアクチュエートされたエンドエフェクタの設計と制御
  エアリアルインタラクション2026/8/11

  飛行ロボットにGough-Stewart機構を備えたスマートエンドエフェクタを搭載し、天井へのミリメートル精度のマーキングを実現するシステムを提案・検証した。

• Aerial Layouting: Design and Control of a Compliant and Actuated End-Effector for Precise In-flight Marking on Ceilings
  2026/8/1
• Efficient Hierarchical Any-Angle Path Planning on Multi-Resolution 3D Grids
  2026/2/1
• CueLearner: Bootstrapping and local policy adaptation from relative feedback
  2025/7/1
• Learning Affordances from Interactive Exploration using an Object-level Map
  2025/1/1
• NeuSurfEmb: A Complete Pipeline for Dense Correspondence-based 6D Object Pose Estimation without CAD Models
  2024/7/1
• Task Adaptation in Industrial Human-Robot Interaction: Leveraging Riemannian Motion Policies
  2024/6/1
• Waverider: Leveraging Hierarchical, Multi-Resolution Maps for Efficient and Reactive Obstacle Avoidance
  2024/5/1
• To Fuse or Not to Fuse: Measuring Consistency in Multi-Sensor Fusion for Aerial Robots
  2023/12/1
• Soliro -- a hybrid dynamic tilt-wing aerial manipulator with minimal actuators
  2023/12/1
• Open X-Embodiment: Robotic Learning Datasets and RT-X Models
  2023/10/1
• Self-Supervised Learning for Interactive Perception of Surgical Thread for Autonomous Suture Tail-Shortening
  2023/7/1
• Efficient volumetric mapping of multi-scale environments using wavelet-based compression
  2023/6/1
• Chasing Millimeters: Design, Navigation and State Estimation for Precise In-flight Marking on Ceilings
  2023/3/1
• Material-agnostic Shaping of Granular Materials with Optimal Transport
  2023/3/1
• Neural Implicit Vision-Language Feature Fields
  2023/3/1
• Obstacle avoidance using raycasting and Riemannian Motion Policies at kHz rates for MAVs
  2023/1/1
• SphNet: A Spherical Network for Semantic Pointcloud Segmentation
  2022/10/1
• A Framework for Collaborative Multi-Robot Mapping using Spectral Graph Wavelets
  2022/10/1
• Baking in the Feature: Accelerating Volumetric Segmentation by Rendering Feature Maps
  2022/9/1
• Learning Agent-Aware Affordances for Closed-Loop Interaction with Articulated Objects
  2022/9/1
• Team CERBERUS Wins the DARPA Subterranean Challenge: Technical Overview and Lessons Learned
  2022/7/1
• Closed-Loop Next-Best-View Planning for Target-Driven Grasping
  2022/7/1
• Learning Variable Impedance Control for Aerial Sliding on Uneven Heterogeneous Surfaces by Proprioceptive and Tactile Sensing
  2022/6/1
• Sampling-free obstacle gradients and reactive planning in Neural Radiance Fields (NeRF)
  2022/5/1
• Robotic Maintenance of Road Infrastructures: The HERON Project
  2022/5/1
• Collaborative Robot Mapping using Spectral Graph Analysis
  2022/3/1
• Stein Particle Filter for Nonlinear, Non-Gaussian State Estimation
  2022/2/1
• Semi-automatic 3D Object Keypoint Annotation and Detection for the Masses
  2022/1/1
• Autonomous Teamed Exploration of Subterranean Environments using Legged and Aerial Robots
  2021/11/1
• Probabilistic Trajectory Prediction with Structural Constraints
  2021/7/1
• Stein ICP for Uncertainty Estimation in Point Cloud Matching
  2021/6/1
• Spherical Multi-Modal Place Recognition for Heterogeneous Sensor Systems
  2021/4/1
• Mesh Manifold based Riemannian Motion Planning for Omnidirectional Micro Aerial Vehicles
  2021/2/1
• PHASER: a Robust and Correspondence-free Global Pointcloud Registration
  2021/2/1
• Volumetric Grasping Network: Real-time 6 DOF Grasp Detection in Clutter
  2021/1/1
• Active Model Learning using Informative Trajectories for Improved Closed-Loop Control on Real Robots
  2021/1/1
• Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements
  2020/11/1
• Automatic Extension of a Symbolic Mobile Manipulation Skill Set
  2020/10/1
• A Unified Approach for Autonomous Volumetric Exploration of Large Scale Environments under Severe Odometry Drift
  2020/10/1
• Learning dynamics for improving control of overactuated flying systems
  2020/6/1
• Go Fetch: Mobile Manipulation in Unstructured Environments
  2020/4/1
• Estimating Motion Uncertainty with Bayesian ICP
  2020/4/1
• DISCO: Double Likelihood-free Inference Stochastic Control
  2020/2/1
• OCTNet: Trajectory Generation in New Environments from Past Experiences
  2019/9/1
• An Efficient Sampling-based Method for Online Informative Path Planning in Unknown Environments
  2019/9/1
• Speeding Up Iterative Closest Point Using Stochastic Gradient Descent
  2019/7/1
• Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction
  2019/7/1
• Learning to Plan Hierarchically from Curriculum
  2019/6/1
• Bayesian optimisation under uncertain inputs
  2019/2/1
• Functional Path Optimisation for Exploration in Continuous Occupancy Maps
  2018/5/1
• Learning to Race through Coordinate Descent Bayesian Optimisation
  2018/2/1
• Learning to Navigate by Growing Deep Networks
  2017/12/1
• Bayesian Optimisation for Safe Navigation under Localisation Uncertainty
  2017/9/1
• Stochastic Functional Gradient Path Planning in Occupancy Maps
  2017/5/1
• Stochastic Functional Gradient for Motion Planning in Continuous Occupancy Maps
  2017/3/1
• Occupancy Map Building through Bayesian Exploration
  2017/3/1