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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...
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NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting
Although Transformer has made breakthrough success in widespread domains...
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Experience-Based Heuristic Search: Robust Motion Planning with Deep Q-Learning
Interaction-aware planning for autonomous driving requires an exploratio...
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Addressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for Automated Driving using Distributional Reinforcement Learning
For highly automated driving above SAE level 3, behavior generation algo...
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Risk-Constrained Interactive Safety under Behavior Uncertainty for Autonomous Driving
Balancing safety and efficiency when planning in dense traffic is challe...
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Lightweight Convolutional Neural Network with Gaussian-based Grasping Representation for Robotic Grasping Detection
The method of deep learning has achieved excellent results in improving ...
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Gaussian Process-Based Model Predictive Control for Overtaking
This paper proposes a novel framework for addressing the challenge of au...
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A Spiking Central Pattern Generator for the control of a simulated lamprey robot running on SpiNNaker and Loihi neuromorphic boards
Central Pattern Generators (CPGs) models have been long used to investig...
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PointINet: Point Cloud Frame Interpolation Network
LiDAR point cloud streams are usually sparse in time dimension, which is...
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Spotlight-based 3D Instrument Guidance for Retinal Surgery
Retinal surgery is a complex activity that can be challenging for a surg...
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LAP-Net: Adaptive Features Sampling via Learning Action Progression for Online Action Detection
Online action detection is a task with the aim of identifying ongoing ac...
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RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor
Keypoint detector and descriptor are two main components of point cloud ...
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Modeling and Testing Multi-Agent Traffic Rules within Interactive Behavior Planning
Autonomous vehicles need to abide by the same rules that humans follow. ...
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Complex Robotic Manipulation via Graph-Based Hindsight Goal Generation
Reinforcement learning algorithms such as hindsight experience replay (H...
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Formalizing Traffic Rules for Machine Interpretability
Autonomous vehicles need to be designed to abide by the same rules that ...
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AerialMPTNet: Multi-Pedestrian Tracking in Aerial Imagery Using Temporal and Graphical Features
Multi-pedestrian tracking in aerial imagery has several applications suc...
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Graph Neural Networks and Reinforcement Learning for Behavior Generation in Semantic Environments
Most reinforcement learning approaches used in behavior generation utili...
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Center-of-Mass-based Robust Grasp Planning for Unknown Objects Using Tactile-Visual Sensors
An unstable grasp pose can lead to slip, thus an unstable grasp pose can...
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Accurate position tracking with a single UWB anchor
Accurate localization and tracking are a fundamental requirement for rob...
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Optimal Behavior Planning for Autonomous Driving: A Generic Mixed-Integer Formulation
Mixed-Integer Quadratic Programming (MIQP) has been identified as a suit...
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Robust Stochastic Bayesian Games for Behavior Space Coverage
A key challenge in multi-agent systems is the design of intelligent agen...
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Using Counterfactual Reasoning and Reinforcement Learning for Decision-Making in Autonomous Driving
In decision-making for autonomous vehicles, we need to predict other veh...
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Task-Independent Spiking Central Pattern Generator: A Learning-Based Approach
Legged locomotion is a challenging task in the field of robotics but a r...
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Indirect and Direct Training of Spiking Neural Networks for End-to-End Control of a Lane-Keeping Vehicle
Building spiking neural networks (SNNs) based on biological synaptic pla...
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Identity Recognition in Intelligent Cars with Behavioral Data and LSTM-ResNet Classifier
Identity recognition in a car cabin is a critical task nowadays and offe...
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Providentia -- A Large Scale Sensing System for the Assistance of Autonomous Vehicles
The environmental perception of autonomous vehicles is not only limited ...
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Copy and Paste: A Simple But Effective Initialization Method for Black-Box Adversarial Attacks
Many optimization methods for generating black-box adversarial examples ...
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Leveraging Semantic Embeddings for Safety-Critical Applications
Semantic Embeddings are a popular way to represent knowledge in the fiel...
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Bridging the Gap between Open Source Software and Vehicle Hardware for Autonomous Driving
Although many research vehicle platforms for autonomous driving have bee...
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From Specifications to Behavior: Maneuver Verification in a Semantic State Space
To realize a market entry of autonomous vehicles in the foreseeable futu...
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A New Method for Atlanta World Frame Estimation
In this paper, we propose a new Atlanta frame estimation method by consi...
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Targetless Rotational Auto-Calibration of Radar and Camera for Intelligent Transportation Systems
Most intelligent transportation systems use a combination of radar senso...
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Energy-Efficient Slithering Gait Exploration for a Snake-like Robot based on Reinforcement Learning
Similar to their counterparts in nature, the flexible bodies of snake-li...
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A Novel Method for the Absolute Pose Problem with Pairwise Constraints
Absolute pose estimation is a fundamental problem in computer vision, an...
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The Simpler the Better: Constant Velocity for Pedestrian Motion Prediction
Pedestrian motion prediction is a fundamental task for autonomous robots...
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5G for the Factory of the Future: Wireless Communication in an Industrial Environment
In this paper, the application of 5G communication technology in an indu...
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Graph Neural Networks for Modelling Traffic Participant Interaction
By interpreting a traffic scene as a graph of interacting vehicles, we g...
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Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks
We consider adversarial examples in the black-box decision-based scenari...
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Towards Robotic Eye Surgery: Marker-free, Online Hand-eye Calibration using Optical Coherence Tomography Images
Ophthalmic microsurgery is known to be a challenging operation, which re...
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A Survey on Agent-based Simulation using Hardware Accelerators
Due to decelerating gains in single-core CPU performance, computationall...
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Potentials and Implications of Dedicated Highway Lanes for Autonomous Vehicles
The introduction of autonomous vehicles (AVs) will have far-reaching eff...
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