Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
PERCEPTION papers(3,986)
Clear ✕Enhancing Navigation Benchmarking and Perception Data Generation for Row-based Crops in Simulation
Mauro Martini, Andrea Eirale, Brenno Tuberga +5 more
2023
BEVScope: Enhancing Self-Supervised Depth Estimation Leveraging Bird's-Eye-View in Dynamic Scenarios
Yucheng Mao, Ruowen Zhao, Tianbao Zhang +1 more
2023
PartSLAM: Unsupervised Part-based Scene Modeling for Fast Succinct Map Matching
Shogo Hanada, Kanji Tanaka
2023
Enhancing Visual Domain Adaptation with Source Preparation
Anirudha Ramesh, Anurag Ghosh, Christoph Mertz +1 more
2023
Semantics-Aware Next-best-view Planning for Efficient Search and Detection of Task-relevant Plant Parts
Akshay K. Burusa, Joost Scholten, David Rapado Rincon +3 more
2023
Seeing the Pose in the Pixels: Learning Pose-Aware Representations in Vision Transformers
Dominick Reilly, Aman Chadha, Srijan Das
2023
Privacy Risks in Reinforcement Learning for Household Robots
Miao Li, Wenhao Ding, Ding Zhao
2023
Investigation of the Challenges of Underwater-Visual-Monocular-SLAM
Michele Grimaldi, David Nakath, Mengkun She +1 more
2023
Toward Grounded Commonsense Reasoning
Minae Kwon, Hengyuan Hu, Vivek Myers +3 more
2023
iSLAM: Imperative SLAM
Taimeng Fu, Shaoshu Su, Yiren Lu +1 more
2023
LMD: Light-weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds
Tobias Riedlinger, Marius Schubert, Sarina Penquitt +7 more
2023
Learning to Estimate 6DoF Pose from Limited Data: A Few-Shot, Generalizable Approach using RGB Images
Panwang Pan, Zhiwen Fan, Brandon Y. Feng +3 more
2023
Volume-DROID: A Real-Time Implementation of Volumetric Mapping with DROID-SLAM
Peter Stratton, Sandilya Sai Garimella, Ashwin Saxena +2 more
2023
Lightweight Monocular Depth Estimation via Token-Sharing Transformer
Dong-Jae Lee, Jae Young Lee, Hyounguk Shon +4 more
2023
BAA-NGP: Bundle-Adjusting Accelerated Neural Graphics Primitives
Sainan Liu, Shan Lin, Jingpei Lu +2 more
2023
Benchmarking Robustness of AI-Enabled Multi-sensor Fusion Systems: Challenges and Opportunities
Xinyu Gao, Zhijie Wang, Yang Feng +3 more
2023
Single-Stage 3D Geometry-Preserving Depth Estimation Model Training on Dataset Mixtures with Uncalibrated Stereo Data
Nikolay Patakin, Mikhail Romanov, Anna Vorontsova +2 more
2023
AutoExp: A multidisciplinary, multi-sensor framework to evaluate human activities in self-driving cars
Carlos Crispim-Junior, Romain Guesdon, Christophe Jallais +3 more
2023
Self-supervised Interest Point Detection and Description for Fisheye and Perspective Images
Marcela Mera-Trujillo, Shivang Patel, Yu Gu +1 more
2023
Unifying (Machine) Vision via Counterfactual World Modeling
Daniel M. Bear, Kevin Feigelis, Honglin Chen +5 more
2023
Geometric Algebra Transformer
Johann Brehmer, Pim de Haan, Sönke Behrends +1 more
2023
Collaborative Multi-Agent Video Fast-Forwarding
Shuyue Lan, Zhilu Wang, Ermin Wei +2 more
2023
Condition-Invariant Semantic Segmentation
Christos Sakaridis, David Bruggemann, Fisher Yu +1 more
2023
Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence
Erik C. Johnson, Brian S. Robinson, Gautam K. Vallabha +17 more
2023