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Robotics
920 directly classified papers
Papers per year
2006: 8
2007: 3
2008: 5
2009: 4
2010: 3
2011: 8
2012: 11
2013: 6
2014: 2
2015: 11
2016: 13
2017: 37
2018: 55
2019: 89
2020: 82
2021: 80
2022: 92
2023: 87
2024: 155
2025: 162
2026: 7
Papers
Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation
CVPR 2019
Embodied Question Answering in Photorealistic Environments With Point Cloud Perception
CVPR 2019
Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation
CVPR 2019
Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning
CVPR 2019
Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration
CVPR 2019
Convolutional Recurrent Network for Road Boundary Extraction
CVPR 2019
Meta-Learning Convolutional Neural Architectures for Multi-Target Concrete Defect Classification With the COncrete DEfect BRidge IMage Dataset
CVPR 2019
An Efficient Schmidt-EKF for 3D Visual-Inertial SLAM
CVPR 2019
Variational Regret Bounds for Reinforcement Learning
UAI 2019
Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments
CORL 2019
Understanding Teacher Gaze Patterns for Robot Learning
CORL 2019
Learning Parametric Constraints in High Dimensions from Demonstrations
CORL 2019
Language-guided Semantic Mapping and Mobile Manipulation in Partially Observable Environments
CORL 2019
Dynamic Experience Replay
CORL 2019
Imagined Value Gradients: Model-Based Policy Optimization with Tranferable Latent Dynamics Models
CORL 2019
Adversarial Active Exploration for Inverse Dynamics Model Learning
CORL 2019
Contextual Imagined Goals for Self-Supervised Robotic Learning
CORL 2019
Self-Paced Contextual Reinforcement Learning
CORL 2019
Learning to Manipulate Object Collections Using Grounded State Representations
CORL 2019
A Survey on Reproducibility by Evaluating Deep Reinforcement Learning Algorithms on Real-World Robots
CORL 2019
Bayesian Optimization in Variational Latent Spaces with Dynamic Compression
CORL 2019
TuneNet: One-Shot Residual Tuning for System Identification and Sim-to-Real Robot Task Transfer
CORL 2019
A correct formulation for the Orientation Dynamic Movement Primitives for robot control in the Cartesian space
CORL 2019
Optimizing Sequences of Probabilistic Manipulation Skills Learned from Demonstration
CORL 2019
Learning from demonstration with model-based Gaussian process
CORL 2019
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