Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
PERCEPTION papers(3,986)
Clear ✕NeRF-Enhanced Outpainting for Faithful Field-of-View Extrapolation
Rui Yu, Jiachen Liu, Zihan Zhou +1 more
2023
Detect Everything with Few Examples
Xinyu Zhang, Yuhan Liu, Yuting Wang +1 more
2023
SRFNet: Monocular Depth Estimation with Fine-grained Structure via Spatial Reliability-oriented Fusion of Frames and Events
Tianbo Pan, Zidong Cao, Lin Wang
2023
Enhancing Graph Representation of the Environment through Local and Cloud Computation
Francesco Argenziano, Vincenzo Suriani, Daniele Nardi
2023
POLAR-Sim: Augmenting NASA's POLAR Dataset for Data-Driven Lunar Perception and Rover Simulation
Bo-Hsun Chen, Peter Negrut, Thomas Liang +3 more
2023
A Vision-Based Navigation System for Arable Fields
Rajitha de Silva, Grzegorz Cielniak, Junfeng Gao
2023
Discuss Before Moving: Visual Language Navigation via Multi-expert Discussions
Yuxing Long, Xiaoqi Li, Wenzhe Cai +1 more
2023
STARNet: Sensor Trustworthiness and Anomaly Recognition via Approximated Likelihood Regret for Robust Edge Autonomy
Nastaran Darabi, Sina Tayebati, Sureshkumar S. +3 more
2023
PseudoCal: Towards Initialisation-Free Deep Learning-Based Camera-LiDAR Self-Calibration
Mathieu Cocheteux, Julien Moreau, Franck Davoine
2023
Mutual Information-calibrated Conformal Feature Fusion for Uncertainty-Aware Multimodal 3D Object Detection at the Edge
Alex C. Stutts, Danilo Erricolo, Sathya Ravi +2 more
2023
RenderOcc: Vision-Centric 3D Occupancy Prediction with 2D Rendering Supervision
Mingjie Pan, Jiaming Liu, Renrui Zhang +6 more
2023
FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised Pretraining
Shaheer Mohamed, Maryam Haghighat, Tharindu Fernando +3 more
2023
Deep Neighbor Layer Aggregation for Lightweight Self-Supervised Monocular Depth Estimation
Wang Boya, Wang Shuo, Ye Dong +1 more
2023
DEUX: Active Exploration for Learning Unsupervised Depth Perception
Marvin Chancán, Alex Wong, Ian Abraham
2023
URA*: Uncertainty-aware Path Planning using Image-based Aerial-to-Ground Traversability Estimation for Off-road Environments
Charles Moore, Shaswata Mitra, Nisha Pillai +4 more
2023
OccupancyDETR: Using DETR for Mixed Dense-sparse 3D Occupancy Prediction
Yupeng Jia, Jie He, Runze Chen +2 more
2023
Multi-Grade Deep Learning for Partial Differential Equations with Applications to the Burgers Equation
Yuesheng Xu, Taishan Zeng
2023
RadarLCD: Learnable Radar-based Loop Closure Detection Pipeline
Mirko Usuelli, Matteo Frosi, Paolo Cudrano +2 more
2023
Leveraging SE(3) Equivariance for Learning 3D Geometric Shape Assembly
Ruihai Wu, Chenrui Tie, Yushi Du +2 more
2023
Motion-Bias-Free Feature-Based SLAM
Alejandro Fontan, Javier Civera, Michael Milford
2023
SCP: Scene Completion Pre-training for 3D Object Detection
Yiming Shan, Yan Xia, Yuhong Chen +1 more
2023
ViHOPE: Visuotactile In-Hand Object 6D Pose Estimation with Shape Completion
Hongyu Li, Snehal Dikhale, Soshi Iba +1 more
2023
Stream-based Active Learning by Exploiting Temporal Properties in Perception with Temporal Predicted Loss
Sebastian Schmidt, Stephan Günnemann
2023
Towards Better Data Exploitation in Self-Supervised Monocular Depth Estimation
Jinfeng Liu, Lingtong Kong, Jie Yang +1 more
2023