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09/21/2023
Representation Abstractions as Incentives for Reinforcement Learning Agents: A Robotic Grasping Case Study
Choosing an appropriate representation of the environment for the underl...
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09/14/2023
BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture
This paper introduces the Budding Ensemble Architecture (BEA), a novel r...
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08/22/2023
PoseGraphNet++: Enriching 3D Human Pose with Orientation Estimation
Existing kinematic skeleton-based 3D human pose estimation methods only ...
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07/19/2023
Contact-aware Shaping and Maintenance of Deformable Linear Objects With Fixtures
Studying the manipulation of deformable linear objects has significant p...
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06/15/2023
DiAReL: Reinforcement Learning with Disturbance Awareness for Robust Sim2Real Policy Transfer in Robot Control
Delayed Markov decision processes fulfill the Markov property by augment...
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05/30/2023
Language-Conditioned Imitation Learning with Base Skill Priors under Unstructured Data
The growing interest in language-conditioned robot manipulation aims to ...
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05/26/2023
Towards Cognitive Bots: Architectural Research Challenges
Software bots operating in multiple virtual digital platforms must under...
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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...
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05/19/2023
V2X-Boosted Federated Learning for Cooperative Intelligent Transportation Systems with Contextual Client Selection
Machine learning (ML) has revolutionized transportation systems, enablin...
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04/29/2023
Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning
Meta-reinforcement learning enables artificial agents to learn from rela...
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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)....
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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...
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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...
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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...
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03/21/2023
TMA: Temporal Motion Aggregation for Event-based Optical Flow
Event cameras have the ability to record continuous and detailed traject...
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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...
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03/12/2023
Sequential Spatial Network for Collision Avoidance in Autonomous Driving
Several autonomous driving strategies have been applied to autonomous ve...
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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, ...
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02/25/2023
A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors
Deployment of reinforcement learning algorithms for robotics application...
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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...
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12/31/2022
Autonomous Driving Simulator based on Neurorobotics Platform
There are many artificial intelligence algorithms for autonomous driving...
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12/11/2022
ResFed: Communication Efficient Federated Learning by Transmitting Deep Compressed Residuals
Federated learning enables cooperative training among massively distribu...
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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...
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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...
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09/11/2022
Meta-Reinforcement Learning via Language Instructions
Although deep reinforcement learning has recently been very successful a...
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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...
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07/10/2022
Spatiotemporal motion planning with combinatorial reasoning for autonomous driving
Motion planning for urban environments with numerous moving agents can b...
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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...
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06/17/2022
Edge-Aided Sensor Data Sharing in Vehicular Communication Networks
Sensor data sharing in vehicular networks can significantly improve the ...
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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...
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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...
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04/13/2022
A9-Dataset: Multi-Sensor Infrastructure-Based Dataset for Mobility Research
Data-intensive machine learning based techniques increasingly play a pro...
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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...
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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...
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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...
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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...
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02/25/2022
Time-coded Spiking Fourier Transform in Neuromorphic Hardware
After several decades of continuously optimizing computing systems, the ...
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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...
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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...
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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 ...
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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...
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09/27/2021
A Biologically Inspired Global Localization System for Mobile Robots Using LiDAR Sensor
Localization in the environment is an essential navigational capability ...
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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...
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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 ...
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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 ...
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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...
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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 ...
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05/21/2021
3D Human Pose Regression using Graph Convolutional Network
3D human pose estimation is a difficult task, due to challenges such as ...
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05/21/2021
Safety Metrics for Semantic Segmentation in Autonomous Driving
Within the context of autonomous driving, safety-related metrics for dee...
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04/25/2021