b'Alois Knoll'

research

∙ 05/30/2023

Language-Conditioned Imitation Learning with Base Skill Priors under Unstructured Data

The growing interest in language-conditioned robot manipulation aims to ...

0 Hongkuan Zhou, et al. ∙

research

∙ 05/26/2023

Towards Cognitive Bots: Architectural Research Challenges

Software bots operating in multiple virtual digital platforms must under...

0 Habtom Kahsay Gidey, et al. ∙

research

∙ 05/23/2023

DIVA: A Dirichlet Process Based Incremental Deep Clustering Algorithm via Variational Auto-Encoder

Generative model-based deep clustering frameworks excel in classifying c...

0 Zhenshan Bing, et al. ∙

research

∙ 05/19/2023

V2X-Boosted Federated Learning for Cooperative Intelligent Transportation Systems with Contextual Client Selection

Machine learning (ML) has revolutionized transportation systems, enablin...

0 Rui Song, et al. ∙

research

∙ 04/29/2023

Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning

Meta-reinforcement learning enables artificial agents to learn from rela...

0 Mingyang Wang, et al. ∙

research

∙ 04/24/2023

Occlusion Robust 3D Human Pose Estimation with StridedPoseGraphFormer and Data Augmentation

Occlusion is an omnipresent challenge in 3D human pose estimation (HPE)....

0 Soubarna Banik, et al. ∙

research

∙ 04/18/2023

Safety Guaranteed Manipulation Based on Reinforcement Learning Planner and Model Predictive Control Actor

Deep reinforcement learning (RL) has been endowed with high expectations...

0 Zhenshan Bing, et al. ∙

research

∙ 04/04/2023

FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems

Bird's eye view (BEV) perception is becoming increasingly important in t...

0 Rui Song, et al. ∙

research

∙ 03/22/2023

UMC: A Unified Bandwidth-efficient and Multi-resolution based Collaborative Perception Framework

Multi-agent collaborative perception (MCP) has recently attracted much a...

0 Tianhang Wang, et al. ∙

research

∙ 03/21/2023

TMA: Temporal Motion Aggregation for Event-based Optical Flow

Event cameras have the ability to record continuous and detailed traject...

0 Haotian Liu, et al. ∙

research

∙ 03/15/2023

Fast and Accurate Object Detection on Asymmetrical Receptive Field

Object detection has been used in a wide range of industries. For exampl...

0 Zhou, Liguo, et al. ∙

research

∙ 03/12/2023

Sequential Spatial Network for Collision Avoidance in Autonomous Driving

Several autonomous driving strategies have been applied to autonomous ve...

0 Haichuan Li, et al. ∙

research

∙ 03/12/2023

BCSSN: Bi-direction Compact Spatial Separable Network for Collision Avoidance in Autonomous Driving

Autonomous driving has been an active area of research and development, ...

0 Haichuan Li, et al. ∙

research

∙ 02/25/2023

A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors

Deployment of reinforcement learning algorithms for robotics application...

0 Shangding Gu, et al. ∙

research

∙ 02/23/2023

Attention Mechanism for Contrastive Learning in GAN-based Image-to-Image Translation

Using real road testing to optimize autonomous driving algorithms is tim...

0 Hanzhen Zhang, et al. ∙

research

∙ 12/31/2022

Autonomous Driving Simulator based on Neurorobotics Platform

There are many artificial intelligence algorithms for autonomous driving...

0 Wei Cao, et al. ∙

research

∙ 12/11/2022

ResFed: Communication Efficient Federated Learning by Transmitting Deep Compressed Residuals

Federated learning enables cooperative training among massively distribu...

0 Rui Song, et al. ∙

research

∙ 09/21/2022

Learning from Symmetry: Meta-Reinforcement Learning with Symmetric Data and Language Instructions

Meta-reinforcement learning (meta-RL) is a promising approach that enabl...

0 Xiangtong Yao, et al. ∙

research

∙ 09/21/2022

Safety Metrics and Losses for Object Detection in Autonomous Driving

State-of-the-art object detectors have been shown effective in many appl...

0 Hsuan-Cheng Liao, et al. ∙

research

∙ 09/11/2022

Meta-Reinforcement Learning via Language Instructions

Although deep reinforcement learning has recently been very successful a...

0 Zhenshan Bing, et al. ∙

research

∙ 09/07/2022

Hardware faults that matter: Understanding and Estimating the safety impact of hardware faults on object detection DNNs

Object detection neural network models need to perform reliably in highl...

0 Syed Qutub, et al. ∙

research

∙ 07/10/2022

Spatiotemporal motion planning with combinatorial reasoning for autonomous driving

Motion planning for urban environments with numerous moving agents can b...

0 Klemens Esterle, et al. ∙

research

∙ 06/28/2022

Accurate and Real-time Pseudo Lidar Detection: Is Stereo Neural Network Really Necessary?

The proposal of Pseudo-Lidar representation has significantly narrowed t...

0 Haitao Meng, et al. ∙

research

∙ 06/17/2022

Edge-Aided Sensor Data Sharing in Vehicular Communication Networks

Sensor data sharing in vehicular networks can significantly improve the ...

0 Rui Song, et al. ∙

research

∙ 06/13/2022

Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement Learning for Robotic Manipulation Tasks

Randomization is currently a widely used approach in Sim2Real transfer f...

0 Josip Josifovski, et al. ∙

research

∙ 05/02/2022

3D Object Detection with a Self-supervised Lidar Scene Flow Backbone

State-of-the-art 3D detection methods rely on supervised learning and la...

0 Emec Ercelik, et al. ∙

research

∙ 04/13/2022

A9-Dataset: Multi-Sensor Infrastructure-Based Dataset for Mobility Research

Data-intensive machine learning based techniques increasingly play a pro...

0 Christian Creß, et al. ∙

research

∙ 04/01/2022

Federated Learning Framework Coping with Hierarchical Heterogeneity in Cooperative ITS

In this paper, we introduce a federated learning framework coping with H...

0 Rui Song, et al. ∙

research

∙ 03/31/2022

Real-Time and Robust 3D Object Detection Within Road-Side LiDARs Using Domain Adaptation

This work aims to address the challenges in domain adaptation of 3D obje...

0 Walter Zimmer, et al. ∙

research

∙ 03/31/2022

A Survey of Robust 3D Object Detection Methods in Point Clouds

The purpose of this work is to review the state-of-the-art LiDAR-based 3...

0 Walter Zimmer, et al. ∙

research

∙ 03/11/2022

Graph Neural Networks for Relational Inductive Bias in Vision-based Deep Reinforcement Learning of Robot Control

State-of-the-art reinforcement learning algorithms predominantly learn a...

0 Marco Oliva, et al. ∙

research

∙ 02/25/2022

Time-coded Spiking Fourier Transform in Neuromorphic Hardware

After several decades of continuously optimizing computing systems, the ...

4 Javier Lopez Randulfe, et al. ∙

research

∙ 01/14/2022

Evaluating Muscle Synergies with EMG Data and Physics Simulation in the Neurorobotics Platform

Although we can measure muscle activity and analyze their activation pat...

0 Benedikt Feldotto, et al. ∙

research

∙ 11/30/2021

TridentAdapt: Learning Domain-invariance via Source-Target Confrontation and Self-induced Cross-domain Augmentation

Due to the difficulty of obtaining ground-truth labels, learning from vi...

0 Fengyi Shen, et al. ∙

research

∙ 10/27/2021

Comparing Heuristics, Constraint Optimization, and Reinforcement Learning for an Industrial 2D Packing Problem

Cutting and Packing problems are occurring in different industries with ...

0 Stefan Böhm, et al. ∙

research

∙ 09/30/2021

Linear Differential Games for Cooperative Behavior Planning of Autonomous Vehicles Using Mixed-Integer Programming

Cooperatively planning for multiple agents has been proposed as a promis...

0 Tobias Kessler, et al. ∙

research

∙ 09/27/2021

A Biologically Inspired Global Localization System for Mobile Robots Using LiDAR Sensor

Localization in the environment is an essential navigational capability ...

0 Genghang Zhuang, et al. ∙

research

∙ 09/27/2021

A Biologically Inspired Simultaneous Localization and Mapping System Based on LiDAR Sensor

Simultaneous localization and mapping (SLAM) is one of the essential tec...

0 Genghang Zhuang, et al. ∙

research

∙ 09/22/2021

Towards Cognitive Navigation: Design and Implementation of a Biologically Inspired Head Direction Cell Network

As a vital cognitive function of animals, the navigation skill is first ...

0 Zhenshan Bing, et al. ∙

research

∙ 08/23/2021

Vogtareuth Rehab Depth Datasets: Benchmark for Marker-less Posture Estimation in Rehabilitation

Posture estimation using a single depth camera has become a useful tool ...

0 Soubarna Banik, et al. ∙

research

∙ 08/08/2021

Meta-Reinforcement Learning in Broad and Non-Parametric Environments

Recent state-of-the-art artificial agents lack the ability to adapt rapi...

0 Zhenshan Bing, et al. ∙

research

∙ 05/24/2021

Grasp Planning for Flexible Production with Small Lot Sizes based on CAD models using GPIS and Bayesian Optimization

Grasp planning for multi-fingered hands is still a challenging task due ...

0 Jianjie Lin, et al. ∙

research

∙ 05/21/2021

3D Human Pose Regression using Graph Convolutional Network

3D human pose estimation is a difficult task, due to challenges such as ...

0 Soubarna Banik, et al. ∙

research

∙ 05/21/2021

Safety Metrics for Semantic Segmentation in Autonomous Driving

Within the context of autonomous driving, safety-related metrics for dee...

0 Chih-Hong Cheng, et al. ∙

research

∙ 04/25/2021

Temp-Frustum Net: 3D Object Detection with Temporal Fusion

3D object detection is a core component of automated driving systems. St...

0 Emec Ercelik, et al. ∙

research

∙ 04/12/2021

A Hierarchical State-Machine-Based Framework for Platoon Manoeuvre Descriptions

This paper introduces the SEAD framework that simplifies the process of ...

0 Corvin Deboeser, et al. ∙

research

∙ 04/07/2021

ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization

Weakly-supervised temporal action localization aims to localize action i...

0 Sanqing Qu, et al. ∙

research

∙ 03/10/2021

Non-Holonomic RRT MPC: Path and Trajectory Planning for an Autonomous Cycle Rickshaw

This paper presents a novel hierarchical motion planning approach based ...

0 Damir Bojadžić, et al. ∙

research

∙ 03/05/2021

FloMo: Tractable Motion Prediction with Normalizing Flows

The future motion of traffic participants is inherently uncertain. To pl...

0 Christoph Schöller, et al. ∙

research

∙ 02/25/2021

Design and Control of a Highly Redundant Rigid-Flexible Coupling Robot to Assist the COVID-19 Oropharyngeal-Swab Sampling

The outbreak of novel coronavirus pneumonia (COVID-19) has caused mortal...

0 Yingbai Hu, et al. ∙

Alois Knoll

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