b'Lionel Ott'

research

∙ 07/13/2023

Self-Supervised Learning for Interactive Perception of Surgical Thread for Autonomous Suture Tail-Shortening

Accurate 3D sensing of suturing thread is a challenging problem in autom...

0 Vincent Schorp, et al. ∙

research

∙ 06/02/2023

Efficient volumetric mapping of multi-scale environments using wavelet-based compression

Volumetric maps are widely used in robotics due to their desirable prope...

0 Victor Reijgwart, et al. ∙

research

∙ 03/29/2023

Material-agnostic Shaping of Granular Materials with Optimal Transport

From construction materials, such as sand or asphalt, to kitchen ingredi...

0 Nikhilesh Alatur, et al. ∙

research

∙ 03/20/2023

Neural Implicit Vision-Language Feature Fields

Recently, groundbreaking results have been presented on open-vocabulary ...

0 Kenneth Blomqvist, et al. ∙

research

∙ 03/02/2023

Chasing Millimeters: Design, Navigation and State Estimation for Precise In-flight Marking on Ceilings

Precise markings for drilling and assembly are crucial, laborious constr...

0 Christian Lanegger, et al. ∙

research

∙ 01/19/2023

Obstacle avoidance using raycasting and Riemannian Motion Policies at kHz rates for MAVs

In this paper, we present a novel method for using Riemannian Motion Pol...

0 Michael Pantic, et al. ∙

research

∙ 10/25/2022

A Framework for Collaborative Multi-Robot Mapping using Spectral Graph Wavelets

The exploration of large-scale unknown environments can benefit from the...

0 Lukas Bernreiter, et al. ∙

research

∙ 10/24/2022

SphNet: A Spherical Network for Semantic Pointcloud Segmentation

Semantic segmentation for robotic systems can enable a wide range of app...

0 Lukas Bernreiter, et al. ∙

research

∙ 09/26/2022

Baking in the Feature: Accelerating Volumetric Segmentation by Rendering Feature Maps

Methods have recently been proposed that densely segment 3D volumes into...

0 Kenneth Blomqvist, et al. ∙

research

∙ 09/13/2022

Learning Agent-Aware Affordances for Closed-Loop Interaction with Articulated Objects

Interactions with articulated objects are a challenging but important ta...

0 Giulio Schiavi, et al. ∙

research

∙ 07/21/2022

Closed-Loop Next-Best-View Planning for Target-Driven Grasping

Picking a specific object from clutter is an essential component of many...

0 Michel Breyer, et al. ∙

research

∙ 06/28/2022

Learning Variable Impedance Control for Aerial Sliding on Uneven Heterogeneous Surfaces by Proprioceptive and Tactile Sensing

The recent development of novel aerial vehicles capable of physically in...

0 Weixuan Zhang, et al. ∙

research

∙ 05/09/2022

Robotic Maintenance of Road Infrastructures: The HERON Project

Of all public assets, road infrastructure tops the list. Roads are cruci...

0 Iason Katsamenis, et al. ∙

research

∙ 05/03/2022

Sampling-free obstacle gradients and reactive planning in Neural Radiance Fields (NeRF)

This work investigates the use of Neural implicit representations, speci...

0 Michael Pantic, et al. ∙

research

∙ 03/01/2022

Collaborative Robot Mapping using Spectral Graph Analysis

In this paper, we deal with the problem of creating globally consistent ...

0 Lukas Bernreiter, et al. ∙

research

∙ 02/09/2022

Stein Particle Filter for Nonlinear, Non-Gaussian State Estimation

Estimation of a dynamical system's latent state subject to sensor noise ...

0 Fahira Afzal Maken, et al. ∙

research

∙ 01/19/2022

Semi-automatic 3D Object Keypoint Annotation and Detection for the Masses

Creating computer vision datasets requires careful planning and lots of ...

0 Kenneth Blomqvist, et al. ∙

research

∙ 07/09/2021

Probabilistic Trajectory Prediction with Structural Constraints

This work addresses the problem of predicting the motion trajectories of...

0 Weiming Zhi, et al. ∙

research

∙ 07/04/2021

Learning ODEs via Diffeomorphisms for Fast and Robust Integration

Advances in differentiable numerical integrators have enabled the use of...

0 Weiming Zhi, et al. ∙

research

∙ 06/07/2021

Stein ICP for Uncertainty Estimation in Point Cloud Matching

Quantification of uncertainty in point cloud matching is critical in man...

0 Fahira Afzal Maken, et al. ∙

research

∙ 04/17/2021

Spherical Multi-Modal Place Recognition for Heterogeneous Sensor Systems

In this paper, we propose a robust end-to-end multi-modal pipeline for p...

0 Lukas Bernreiter, et al. ∙

research

∙ 02/20/2021

Mesh Manifold based Riemannian Motion Planning for Omnidirectional Micro Aerial Vehicles

This paper presents a novel on-line path planning method that enables ae...

0 Michael Pantic, et al. ∙

research

∙ 02/03/2021

PHASER: a Robust and Correspondence-free Global Pointcloud Registration

We propose PHASER, a correspondence-free global registration of sensor-c...

0 Lukas Bernreiter, et al. ∙

research

∙ 01/20/2021

Active Model Learning using Informative Trajectories for Improved Closed-Loop Control on Real Robots

Model-based controllers on real robots require accurate knowledge of the...

0 Weixuan Zhang, et al. ∙

research

∙ 01/04/2021

Volumetric Grasping Network: Real-time 6 DOF Grasp Detection in Clutter

General robot grasping in clutter requires the ability to synthesize gra...

0 Michel Breyer, et al. ∙

research

∙ 11/12/2020

Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements

Critical for the coexistence of humans and robots in dynamic environment...

0 Weiming Zhi, et al. ∙

research

∙ 10/20/2020

Autonomous Extension of a Symbolic Mobile Manipulation Skill Set

Today's methods of programming mobile manipulation systems' behavior for...

0 Julian Förster, et al. ∙

research

∙ 10/19/2020

A Unified Approach for Autonomous Volumetric Exploration of Large Scale Environments under Severe Odometry Drift

Exploration is a fundamental problem in robot autonomy. A major limitati...

0 Lukas Schmid, et al. ∙

research

∙ 06/23/2020

Learning dynamics for improving control of overactuated flying systems

Overactuated omnidirectional flying vehicles are capable of generating f...

0 Weixuan Zhang, et al. ∙

research

∙ 04/16/2020

Estimating Motion Uncertainty with Bayesian ICP

Accurate uncertainty estimation associated with the pose transformation ...

0 Fahira Afzal Maken, et al. ∙

research

∙ 04/02/2020

Go Fetch: Mobile Manipulation in Unstructured Environments

With humankind facing new and increasingly large-scale challenges in the...

0 Kenneth Blomqvist, et al. ∙

research

∙ 02/18/2020

DISCO: Double Likelihood-free Inference Stochastic Control

Accurate simulation of complex physical systems enables the development,...

0 Lucas Barcelos, et al. ∙

research

∙ 11/20/2019

Bayesian Curiosity for Efficient Exploration in Reinforcement Learning

Balancing exploration and exploitation is a fundamental part of reinforc...

0 Tom Blau, et al. ∙

research

∙ 09/25/2019

OCTNet: Trajectory Generation in New Environments from Past Experiences

Being able to safely operate for extended periods of time in dynamic env...

0 Weiming Zhi, et al. ∙

research

∙ 09/20/2019

An Efficient Sampling-based Method for Online Informative Path Planning in Unknown Environments

The ability to plan informative paths online is essential to robot auton...

10 Lukas Schmid, et al. ∙

research

∙ 07/22/2019

Speeding Up Iterative Closest Point Using Stochastic Gradient Descent

Sensors producing 3D point clouds such as 3D laser scanners and RGB-D ca...

0 Fahira Afzal Maken, et al. ∙

research

∙ 07/11/2019

Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction

Understanding the dynamics of an environment, such as the movement of hu...

0 Weiming Zhi, et al. ∙

research

∙ 06/18/2019

Learning to Plan Hierarchically from Curriculum

We present a framework for learning to plan hierarchically in domains wi...

0 Philippe Morere, et al. ∙

research

∙ 02/21/2019

Bayesian optimisation under uncertain inputs

Bayesian optimisation (BO) has been a successful approach to optimise fu...

0 Rafael Oliveira, et al. ∙

research

∙ 05/03/2018

Functional Path Optimisation for Exploration in Continuous Occupancy Maps

Autonomous exploration is a complex task where the robot moves through a...

0 Gilad Francis, et al. ∙

research

∙ 02/17/2018

Learning to Race through Coordinate Descent Bayesian Optimisation

In the automation of many kinds of processes, the observable outcome can...

0 Rafael Oliveira, et al. ∙

research

∙ 12/14/2017

Learning to Navigate by Growing Deep Networks

Adaptability is central to autonomy. Intuitively, for high-dimensional l...

0 Thushan Ganegedara, et al. ∙

research

∙ 09/07/2017

Bayesian Optimisation for Safe Navigation under Localisation Uncertainty

In outdoor environments, mobile robots are required to navigate through ...

0 Rafael Oliveira, et al. ∙

research

∙ 01/07/2017

Urban Scene Segmentation with Laser-Constrained CRFs

Robots typically possess sensors of different modalities, such as colour...

0 Charika De Alvis, et al. ∙

research

∙ 08/08/2016

Online Adaptation of Deep Architectures with Reinforcement Learning

Online learning has become crucial to many problems in machine learning....

0 Thushan Ganegedara, et al. ∙

research

∙ 02/02/2016

Simple Online and Realtime Tracking

This paper explores a pragmatic approach to multiple object tracking whe...

0 Alex Bewley, et al. ∙

Lionel Ott

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