Jonathan D. Gammell | DeepAI

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Featured Co-authors

Marc Toussaint
79 publications
Paul Newman
42 publications
Marlin P. Strub
7 publications
Valentin N. Hartmann
6 publications
Wil Thomason
4 publications
Kevin M. Judd
4 publications
Rowan Border
3 publications
Jianeng Wang
1 publication

∙ 06/01/2023

Event-based Visual Odometry with Full Temporal Resolution via Continuous-time Gaussian Process Regression

Event-based cameras asynchronously capture individual visual changes in ...

0 Jianeng Wang, et al. ∙

∙ 10/17/2022

Task and Motion Informed Trees (TMIT*): Almost-Surely Asymptotically Optimal Integrated Task and Motion Planning

High-level autonomy requires discrete and continuous reasoning to decide...

0 Wil Thomason, et al. ∙

∙ 07/27/2022

The Surface Edge Explorer (SEE): A measurement-direct approach to next best view planning

High-quality observations of the real world are crucial for a variety of...

0 Rowan Border, et al. ∙

∙ 05/17/2022

Effort Informed Roadmaps (EIRM*): Efficient Asymptotically Optimal Multiquery Planning by Actively Reusing Validation Effort

Multiquery planning algorithms find paths between various different star...

0 Valentin N. Hartmann, et al. ∙

∙ 11/02/2021

AIT* and EIT*: Asymmetric bidirectional sampling-based path planning

Optimal path planning is the problem of finding a valid sequence of stat...

0 Marlin P. Strub, et al. ∙

∙ 10/28/2021

Multimotion Visual Odometry (MVO)

Visual motion estimation is a well-studied challenge in autonomous navig...

0 Kevin M. Judd, et al. ∙

∙ 04/06/2021

Admissible heuristics for obstacle clearance optimization objectives

Obstacle clearance in state space is an important optimization objective...

0 Marlin P. Strub, et al. ∙

∙ 09/22/2020

A Survey of Asymptotically Optimal Sampling-based Motion Planning Methods

Motion planning is a fundamental problem in autonomous robotics. It requ...

0 Jonathan D. Gammell, et al. ∙

∙ 09/09/2020

Proactive Estimation of Occlusions and Scene Coverage for Planning Next Best Views in an Unstructured Representation

The process of planning views to observe a scene is known as the Next Be...

0 Rowan Border, et al. ∙

∙ 02/16/2020

Adaptively Informed Trees (AIT*): Fast Asymptotically Optimal Path Planning through Adaptive Heuristics

Informed sampling-based planning algorithms exploit problem knowledge fo...

0 Marlin P. Strub, et al. ∙

∙ 02/16/2020

Advanced BIT* (ABIT*): Sampling-Based Planning with Advanced Graph-Search Techniques

Path planning is an active area of research essential for many applicati...

0 Marlin P. Strub, et al. ∙

∙ 05/13/2019

Occlusion-Robust MVO: Multimotion Estimation Through Occlusion Via Motion Closure

Visual motion estimation is an integral and well-studied challenge in au...

0 Kevin M. Judd, et al. ∙

∙ 01/05/2019

The Oxford Multimotion Dataset: Multiple SE(3) Motions with Ground Truth

Datasets advance research by posing challenging new problems and providi...

0 Kevin M. Judd, et al. ∙

∙ 08/01/2018

Multimotion Visual Odometry (MVO): Simultaneous Estimation of Camera and Third-Party Motions

Estimating motion from images is a well-studied problem in computer visi...

0 Kevin M. Judd, et al. ∙

∙ 02/23/2018

Surface Edge Explorer (SEE): Planning Next Best Views Directly from 3D Observations

Surveying 3D scenes is a common task in robotics. Systems can do so auto...

0 Rowan Border, et al. ∙

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