Ingmar Posner

Ingmar Posner

University of Oxford

H-index: 43

Europe-United Kingdom

About Ingmar Posner

Ingmar Posner, With an exceptional h-index of 43 and a recent h-index of 35 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of Robotics, perception, machine learning, classification, vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

D-Cubed: Latent Diffusion Trajectory Optimisation for Dexterous Deformable Manipulation

Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization

DreamUp3D: Object-Centric Generative Models for Single-View 3D Scene Understanding and Real-to-Sim Transfer

Investigating the Role of Metacognition for Joint Decision-Making in Human-Robot Collaboration

Gromov-Hausdorff Distances for Comparing Product Manifolds of Model Spaces

You only look at one: Category-level object representations for pose estimation from a single example

World models via policy-guided trajectory diffusion

Projections of model spaces for latent graph inference

Ingmar Posner Information

University

Position

___

Citations(all)

7126

Citations(since 2020)

5364

Cited By

3705

hIndex(all)

43

hIndex(since 2020)

35

i10Index(all)

90

i10Index(since 2020)

72

Email

University Profile Page

University of Oxford

Google Scholar

View Google Scholar Profile

Ingmar Posner Skills & Research Interests

Robotics

perception

machine learning

classification

vision

Top articles of Ingmar Posner

Title

Journal

Author(s)

Publication Date

D-Cubed: Latent Diffusion Trajectory Optimisation for Dexterous Deformable Manipulation

arXiv preprint arXiv:2403.12861

Jun Yamada

Shaohong Zhong

Jack Collins

Ingmar Posner

2024/3/19

Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization

Haitz Sáez de Ocáriz Borde

Alvaro Arroyo

Ismael Morales

Ingmar Posner

Xiaowen Dong

2023/12

DreamUp3D: Object-Centric Generative Models for Single-View 3D Scene Understanding and Real-to-Sim Transfer

IEEE Robotics and Automation Letters

Yizhe Wu

Haitz Sáez de Ocáriz Borde

Jack Collins

Oiwi Parker Jones

Ingmar Posner

2024/2/6

Investigating the Role of Metacognition for Joint Decision-Making in Human-Robot Collaboration

Raunak Bhattacharyya

Clara Colombatto

Stephen Fleming

Ingmar Posner

Nick Hawes

2023

Gromov-Hausdorff Distances for Comparing Product Manifolds of Model Spaces

arXiv preprint arXiv:2309.05678

Haitz Saez de Ocariz Borde

Alvaro Arroyo

Ismael Morales

Ingmar Posner

Xiaowen Dong

2023/9/9

You only look at one: Category-level object representations for pose estimation from a single example

arXiv preprint arXiv:2305.12626

Walter Goodwin

Ioannis Havoutis

Ingmar Posner

2023/5/22

World models via policy-guided trajectory diffusion

Transactions on Machine Learning Research (TMLR)

Marc Rigter

Jun Yamada

Ingmar Posner

2023/12/13

Projections of model spaces for latent graph inference

arXiv preprint arXiv:2303.11754

Haitz Sáez de Ocáriz Borde

Álvaro Arroyo

Ingmar Posner

2023/3/21

VAE-Loco: Versatile quadruped locomotion by learning a disentangled gait representation

arXiv preprint arXiv:2205.01179

Alexander L Mitchell

Wolfgang Merkt

Mathieu Geisert

Siddhant Gangapurwala

Martin Engelcke

...

2022/5/2

AutoGraph: Predicting Lane Graphs from Traffic Observations

IEEE Robotics and Automation Letters

Jannik Zürn

Ingmar Posner

Wolfram Burgard

2023/11/9

TWIST: Teacher-Student World Model Distillation for Efficient Sim-to-Real Transfer

IEEE International Conference on Robotics and Automation (ICRA)

Jun Yamada

Marc Rigter

Jack Collins

Ingmar Posner

2024

Efficient skill acquisition for complex manipulation tasks in obstructed environments

arXiv preprint arXiv:2303.03365

Jun Yamada

Jack Collins

Ingmar Posner

2023/3/6

Reward-free curricula for training robust world models

International Conference on Learning Representations 2024

Marc Rigter

Minqi Jiang

Ingmar Posner

2024/5/7

Touching a NeRF: Leveraging neural radiance fields for tactile sensory data generation

Shaohong Zhong

Alessandro Albini

Oiwi Parker Jones

Perla Maiolino

Ingmar Posner

2022

RAMP: A Benchmark for Evaluating Robotic Assembly Manipulation and Planning

IEEE Robotics and Automation Letters

Jack Collins

Mark Robson

Jun Yamada

Mohan Sridharan

Karol Janik

...

2023/11/6

Learning for TAMP using RAMP

Jack Collins

Mark Robson

Jun Yamada

Mohan Sridharan

Karol Janik

...

2023/6/13

Ditto: Offline imitation learning with world models

arXiv preprint arXiv:2302.03086

Branton DeMoss

Paul Duckworth

Nick Hawes

Ingmar Posner

2023/2/6

Gaitor: Learning a Unified Representation for Continuous Gait Transition and Terrain Traversal for Quadruped Robots

Alexander Luis Mitchell

Wolfgang Merkt

Aristotelis Papatheodorou

Ioannis Havoutis

Ingmar Posner

2023/10/13

Leveraging scene embeddings for gradient-based motion planning in latent space

Jun Yamada

Chia-Man Hung

Jack Collins

Ioannis Havoutis

Ingmar Posner

2022

Fast-MbyM: Leveraging translational invariance of the Fourier transform for efficient and accurate radar odometry

Rob Weston

Matthew Gadd

Daniele De Martini

Paul Newman

Ingmar Posner

2022/5/23

See List of Professors in Ingmar Posner University(University of Oxford)

Co-Authors

H-index: 82
Nicholas Roy

Nicholas Roy

Massachusetts Institute of Technology

H-index: 77
Paul Newman

Paul Newman

University of Oxford

H-index: 44
Michael A Osborne

Michael A Osborne

University of Oxford

H-index: 37
Rudolph Triebel

Rudolph Triebel

Technische Universität München

H-index: 35
Gabe Sibley

Gabe Sibley

University of Colorado Boulder

H-index: 20
Rohan Paul

Rohan Paul

Indian Institute of Technology Delhi

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