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Composing Pick-and-Place Tasks By Grounding Language
Controlling robots to perform tasks via natural language is one of the m...
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EfficientLPS: Efficient LiDAR Panoptic Segmentation
Panoptic segmentation of point clouds is a crucial task that enables aut...
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Modality-Buffet for Real-Time Object Detection
Real-time object detection in videos using lightweight hardware is a cru...
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An Efficient Real-Time NMPC for Quadrotor Position Control under Communication Time-Delay
The advances in computer processor technology have enabled the applicati...
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Holistic Filter Pruning for Efficient Deep Neural Networks
Deep neural networks (DNNs) are usually over-parameterized to increase t...
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Driving Through Ghosts: Behavioral Cloning with False Positives
Safe autonomous driving requires robust detection of other traffic parti...
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Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion
Self-supervised learning has emerged as a powerful tool for depth and eg...
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PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving
In autonomous driving, accurately estimating the state of surrounding ob...
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Hindsight for Foresight: Unsupervised Structured Dynamics Models from Physical Interaction
A key challenge for an agent learning to interact with the world is to r...
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Beyond Single Stage Encoder-Decoder Networks: Deep Decoders for Semantic Image Segmentation
Single encoder-decoder methodologies for semantic segmentation are reach...
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Scaling Imitation Learning in Minecraft
Imitation learning is a powerful family of techniques for learning senso...
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Self-supervised Transfer Learning for Instance Segmentation through Physical Interaction
Instance segmentation of unknown objects from images is regarded as rele...
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HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images
The majority of learning-based semantic segmentation methods are optimiz...
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Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning
Traffic signal controllers play an essential role in the traffic system,...
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SYMOG: learning symmetric mixture of Gaussian modes for improved fixed-point quantization
Deep neural networks (DNNs) have been proven to outperform classical met...
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Learning Object Placements For Relational Instructions by Hallucinating Scene Representations
Robots coexisting with humans in their environment and performing servic...
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Self-Supervised Visual Terrain Classification from Unsupervised Acoustic Feature Learning
Mobile robots operating in unknown urban environments encounter a wide r...
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Building an Aerial-Ground Robotics System for Precision Farming
The application of autonomous robots in agriculture is gaining more and ...
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Long-Term Urban Vehicle Localization Using Pole Landmarks Extracted from 3-D Lidar Scans
Due to their ubiquity and long-term stability, pole-like objects are wel...
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A Maximum Likelihood Approach to Extract Finite Planes from 3-D Laser Scans
Whether it is object detection, model reconstruction, laser odometry, or...
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A Maximum Likelihood Approach to Extract Polylines from 2-D Laser Range Scans
Man-made environments such as households, offices, or factory floors are...
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DCT Maps: Compact Differentiable Lidar Maps Based on the Cosine Transform
Most robot mapping techniques for lidar sensors tessellate the environme...
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Closed-Form Full Map Posteriors for Robot Localization with Lidar Sensors
A popular class of lidar-based grid mapping algorithms computes for each...
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An Analytical Lidar Sensor Model Based on Ray Path Information
Two core competencies of a mobile robot are to build a map of the enviro...
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Adversarial Skill Networks: Unsupervised Robot Skill Learning from Video
Key challenges for the deployment of reinforcement learning (RL) agents ...
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Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control
We propose Adaptive Curriculum Generation from Demonstrations (ACGD) for...
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Self-supervised 3D Shape and Viewpoint Estimation from Single Images for Robotics
We present a convolutional neural network for joint 3D shape prediction ...
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Learning User Preferences for Trajectories from Brain Signals
Robot motions in the presence of humans should not only be feasible and ...
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Combined Task and Action Learning from Human Demonstrations for Mobile Manipulation Applications
Learning from demonstrations is a promising paradigm for transferring kn...
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Learning Multimodal Fixed-Point Weights using Gradient Descent
Due to their high computational complexity, deep neural networks are sti...
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CMRNet: Camera to LiDAR-Map Registration
In this paper we present CMRNet, a realtime approach based on a Convolut...
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DeepTemporalSeg: Temporally Consistent Semantic Segmentation of 3D LiDAR Scans
Understanding the semantic characteristics of the environment is a key e...
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Vision-Based Autonomous UAV Navigation and Landing for Urban Search and Rescue
Unmanned Aerial Vehicles (UAVs) equipped with bioradars are a life-savin...
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Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration
Exploration in sparse reward reinforcement learning remains a difficult ...
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Robot Localization in Floor Plans Using a Room Layout Edge Extraction Network
Indoor localization is one of the crucial enablers for deployment of ser...
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Robust, Compliant Assembly via Optimal Belief Space Planning
In automated manufacturing, robots must reliably assemble parts of vario...
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Accurate Pouring with an Autonomous Robot Using an RGB-D Camera
Robotic assistants in a home environment are expected to perform various...
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Learning a Local Feature Descriptor for 3D LiDAR Scans
Robust data association is necessary for virtually every SLAM system and...
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Vision-based Autonomous Landing in Catastrophe-Struck Environments
Unmanned Aerial Vehicles (UAVs) equipped with bioradars are a life-savin...
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Multimodal Interaction-aware Motion Prediction for Autonomous Street Crossing
For mobile robots sharing the space with humans, acting in accordance wi...
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Self-Supervised Model Adaptation for Multimodal Semantic Segmentation
Learning to reliably perceive and understand the scene is an integral en...
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The role of robot design in decoding error-related information from EEG signals of a human observer
For utilization of robotic assistive devices in everyday life, means for...
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Cross-paradigm pretraining of convolutional networks improves intracranial EEG decoding
When it comes to the classification of brain signals in real-life applic...
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Intracranial Error Detection via Deep Learning
Deep learning techniques have revolutionized the field of machine learni...
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VLocNet++: Deep Multitask Learning for Semantic Visual Localization and Odometry
Visual localization is one of the fundamental enablers of robot autonomy...
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The Limits and Potentials of Deep Learning for Robotics
The application of deep learning in robotics leads to very specific prob...
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Deep Spatiotemporal Models for Robust Proprioceptive Terrain Classification
Terrain classification is a critical component of any autonomous mobile ...
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Curiosity-driven Exploration for Mapless Navigation with Deep Reinforcement Learning
This paper investigates exploration strategies of Deep Reinforcement Lea...
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Deep Auxiliary Learning for Visual Localization and Odometry
Localization is an indispensable component of a robot's autonomy stack t...
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3D Human Pose Estimation in RGBD Images for Robotic Task Learning
We propose an approach to estimate 3D human pose in real world units fro...
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