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Lionel Ott

14 papers · 2014–2026 · 8 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (24) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧭 Keyword Pioneer 🧬 Topic Evolution πŸ“ˆ Trend Setter πŸ”₯ Unstoppable Β· Bronze 🌈 Renaissance Researcher (5) πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (74)

Venues

RSS (5) CoRL (2) NeurIPS (2) AISTATS (1) ICML (1) L4DC (1) UAI (1) WACV (1)

Top co-authors

Roland Siegwart (6) Fabio Ramos (6) Weiming Zhi (3) Tin Lai (2) Victor Reijgwart (2) Cesar Cadena (2) Rafael Oliveira (2) Jen Jen Chung (2) Fabio T Ramos (2) Sanjay Chawla (1)

Research topics

Machine Learning (10) Optimization & Theory (7) Artificial Intelligence (6) Core Methods (6) Mathematics & Optimization (5) Core AI (5) Optimization (5) Robotics (3) Capabilities (3) Reinforcement Learning (2) Applications (2) Computer Vision (1) Deep Learning (1) Analysis (1) Architectures (1)

Keywords

upper confidence bound (2) gaussian process (2) path planning (2) 3d reconstruction (1) robotic navigation (1) 3d vision (1) imitation learning (1) bayesian inference (1) logistic regression (1) convergence analysis (1) depth estimation (1) trajectory prediction (1) human-robot interaction (1) spatio-temporal modeling (1) continuous optimization (1) grasp planning (1) kernel approximation (1) markov chain monte carlo (1) outlier detection (1) stochastic gradient descent (1)

Papers

Towards Fast and Scalable Normal Integration using Continuous Components WACV 2026 Efficient Hierarchical Any-Angle Path Planning on Multi-Resolution 3D Grids RSS 2025 Task Adaptation in Industrial Human-Robot Interaction: Leveraging Riemannian Motion Policies RSS 2024 Efficient volumetric mapping of multi-scale environments using wavelet-based compression RSS 2023 Aerial Layouting: Design and Control of a Compliant and Actuated End-Effector for Precise In-flight Marking on Ceilings RSS 2022 Diffeomorphic Transforms for Generalised Imitation Learning L4DC 2022 Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks ICML 2022 No-regret approximate inference via Bayesian optimisation UAI 2021 Volumetric Grasping Network: Real-time 6 DOF Grasp Detection in Clutter CoRL 2020 Bayesian optimisation under uncertain inputs AISTATS 2019 Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction CoRL 2019 Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments NeurIPS 2016 Hilbert maps: scalable continuous occupancy mapping with stochastic gradient descent RSS 2015 On Integrated Clustering and Outlier Detection NeurIPS 2014