Non-exhaustive list of papers using Theseus

• (2024 Jul) [2407.18569] PP-TIL: Personalized Planning for Autonomous Driving with Instance-based Transfer Imitation Learning
• (2024 Jul) [2407.20223] Correspondence-Free SE(3) Point Cloud Registration in RKHS via Unsupervised Equivariant Learning
• (2024 May) [2405.19309] SDPRLayers: Certifiable Backpropagation Through Polynomial Optimization Problems in Robotics
• (2024 Feb) [2402.05421] DiffTOP: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning
• (2024 Jan) [2401.15036] Distributed Simultaneous Localisation and Auto-Calibration using Gaussian Belief Propagation
• (2024 Jan) [2401.10685] Towards End-to-End GPS Localization with Neural Pseudorange Correction
• (2023 Dec) [2312.04563] Visual Geometry Grounded Deep Structure From Motion
• (2023 Dec) [2312.13469] Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation
• (2023 Dec) Learning‐enabled decision‐making for autonomous driving: framework and methodology
• (2023 Dec) [2312.09138] Living Scenes: Multi-object Relocalization and Reconstruction in Changing 3D Environments
• (2023 Oct) Monocular 3D Object Detection with Viewpoint-Invariant Inter-Object Estimation for Better Contextual Behavior Understanding
• (2023 Oct) [2310.06903] Reinforcement Learning in a Safety-Embedded MDP with Trajectory Optimization
• (2023 Sep) Equivariant and Geometry-Aware 3D Perception for Robots and Automated Vehicles
• (2023 Sep) Revisiting Monocular Visual Odometry from Downward Facing Cameras
• (2023 Aug) [2308.16539] On a Connection between Differential Games, Optimal Control, and Energy-based Models for Multi-Agent Interactions
• (2023 Jun) GameFormer Planner: A Learning-enabled Interactive Prediction and Planning Framework for Autonomous Vehicles
• (2023 May) Exploring Safe Reinforcement Learning for Sequential Decision Making
• (2023 May) [2305.09527] Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares
• (2022 Nov) [2211.02647] Neural Grasp Distance Fields for Robot Manipulation
• (2022 Oct) [2210.14210] MidasTouch: Monte-Carlo inference over distributions across sliding touch
• (2022 Sep) [2209.15428] PyPose: A Library for Robot Learning with Physics-based Optimization
• (2022 Sep) Taking an Electoral Photograph with Neural Networks
• (2022 Sep) [2209.03855] SE(3)-DiffusionFields: Learning cost functions for joint grasp and motion optimization through diffusion
• (2022 Jul) [2207.10422] Differentiable Integrated Motion Prediction and Planning with Learnable Cost Function for Autonomous Driving

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