Henrik I. Christensen
Professor
Directs the Contextual Robotics Institute and works on robot perception, mapping and autonomous systems for manufacturing and mobility.
Henrik I. Christensen's lab at UCSD works on robot perception & SLAM, autonomous vehicles & drones and embodied & active vision. 50 papers since 2023, 12 at top venues, mostly ICRA and IROS. 16 PhD students. 47 alumni. Applications close .
At a glance
- papers, 2023–2026
- 13/ year
- at T1 venues
- 24%
- PhD students
- 16
- MS students
- 0
- alumni listed
- 47
Papers by yearfrom the lab homepage and DBLP, 2023–2026
- 17 papers2026 · T1 2 · collecting
- 14 papers2025 · T1 3
- 9 papers2024 · T1 5
- 10 papers2023 · T1 2
T1 venuesOtherVenues: ICRA, IROS, ICCV, RSS
Research focuspaper titles that use each topic's words
- Robot perception & SLAM8 papers
- Autonomous vehicles & drones8 papers
- Embodied & active vision2 papers
- contextual0 papers
- manufacturing0 papers
Paper list
From the lab homepage and DBLP.
202617 papers
- —BridgeSim: Unveiling the OL-CL Gap in End-to-End Autonomous Driving (opens in a new tab)
- —CHASER: Robust Human Following on a Legged Robot Using Vision and Bluetooth (opens in a new tab)
- ICRA (T1)Controllable Motion Generation via Diffusion Modal Coupling (opens in a new tab)
- —Cross-Embodiment Robot Intelligence (opens in a new tab)
- —DexFLEX: Contact-Aware Foundation Controller for Command-Guided Dexterity (opens in a new tab)
- —Enhancing Generalization in Vision–Language–Action Models by Preserving Pretrained Representations (opens in a new tab)
- —FlashRFCL: Demonstration-Efficient Sparse Reward RL via Reverse-Forward Curriculum Learning in High-Throughput GPU Simulation (opens in a new tab)
- —GAMMS: Graph based Adversarial Multiagent Modeling Simulator (opens in a new tab)
- —GLIDE: A Coordinated Aerial-Ground Framework for Search and Rescue in Unknown Environments (opens in a new tab)
- ICRA (T1)Learning Quadruped Walking from Seconds of Demonstration (opens in a new tab)
- —Quadruped Walking from Seconds of Demonstration (opens in a new tab)
- SIIROSCOE: Robot Scanning and Computing Equipment for Autonomous Terrestrial Mapping (opens in a new tab)
202514 papers
- Sci. RoboticsA review of learning-based dynamics models for robotic manipulation (opens in a new tab)
- —cpRRTC: GPU-Parallel RRT-Connect for Constrained Motion Planning (opens in a new tab)
- ICRA (T1)Estimating Control Barriers from Offline Data (opens in a new tab)
- —Learning Dexterous Deformable Object Manipulation Through Cross-Embodiment Dynamic Learning (opens in a new tab)
- —Learning Dexterous Deformable Object Manipulation Through Cross-Embodiment Dynamics Learning (opens in a new tab)
- —Light-Weight Autonomous Driving Scooter for Urban Micro-Mobility (opens in a new tab)
- IVMapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis (opens in a new tab)
- —Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation (opens in a new tab)
- ICRA (T1)Planning for Tabletop Object Rearrangement (opens in a new tab)
- —Real-Time Online Mapping for Autonomous Driving : Addressing Sensor Generalization and Dynamic Map Updates in Campus Environments (opens in a new tab)
- CASESafe Human Robot Navigation in Warehouse Scenario (opens in a new tab)
- IVSD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs (opens in a new tab)
20249 papers
- RLJA Recipe for Unbounded Data Augmentation in Visual Reinforcement Learning (opens in a new tab)
- —Autonomous Exploration and Mapping Payload Integrated on a Quadruped Robot (opens in a new tab)
- IROS (T1)Enhancing Online Road Network Perception and Reasoning with Standard Definition Maps (opens in a new tab)
- RSS (T1)Motion Planning in Foliated Manifolds using Repetition Roadmap (opens in a new tab)
- —Open X-Embodiment: Robot Learning Dataset (opens in a new tab)
- ICRA (T1)Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration (opens in a new tab)
- IROS (T1)OSM vs HD Maps: Map Representations for Trajectory Prediction (opens in a new tab)
- ICRA (T1)Robust Surgical Tool Tracking with Pixel-based Probabilities for Projected Geometric Primitives (opens in a new tab)
- IVSemVecNet: Generalizable Vector Map Generation for Arbitrary Sensor Configurations (opens in a new tab)
202310 papers
- CASE3D Scene Graph Prediction on Point Clouds Using Knowledge Graphs (opens in a new tab)
- CASEA Real2Sim2Real Method for Robust Object Grasping with Neural Surface Reconstruction (opens in a new tab)
- —CLiNet: Joint Detection of Road Network Centerlines in 2D and 3D (opens in a new tab)
- SensorsConditional Generative Models for Dynamic Trajectory Generation and Urban Driving (opens in a new tab)
- ICCV (T1)FashionNTM: Multi-turn Fashion Image Retrieval via Cascaded Memory (opens in a new tab)
- IRCHousehold navigation and manipulation for everyday object rearrangement tasks (opens in a new tab)
- IROS (T1)Multi-Modal Planning on Regrasping for Stable Manipulation (opens in a new tab)
- SensorsProbabilistic Semantic Mapping for Autonomous Driving in Urban Environments (opens in a new tab)
- —Scaling up multi-agent patrolling in urban environments (opens in a new tab)
- —The neurophysiology of intraoperative error: An EEG study of trainee surgeons during robotic-assisted surgery simulations (opens in a new tab)
Where alumni went47 listed
Apply to UCSDFall 2027
UCSD CSE Computer Science PhD
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- Single round
- Opens
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- GRE
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- English
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- Fee
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Not yet confirmed for this intake.
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