- Depth PredictionWithout the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos
- Online Temporal Calibration for Monocular Visual-Inertial Systems
- Habitat: A Platform for Embodied AI Research
- Gibson Env: Real-World Perception for Embodied Agents
- SkiMap: An Efficient Mapping Framework for Robot Navigation
- Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning
- Self-supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation
- Deep Reinforcement learning for real autonomous mobile robot navigation in indoor environments
- CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature Description
- Corners for Layout: End-to-End Layout Recovery from 360 Images
- A Fast Ellipse Detector Using Projective Invariant Pruning
- Quality Diversity Through Surprise
- Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation
- Planning with Goal-Conditioned Policies
- Correlation Flow: Robust Optical Flow Using Kernel Cross-Correlators
- Extending Maps with Semantic and Contextual Object Information for Robot Navigation: a Learning-Based Framework using Visual and Depth Cues
- HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object Classification
- NeuRoRA: Neural Robust Rotation Averaging
- Visual Navigation Among Humans with Optimal Control as a Supervisor
- Social Navigation with Human Empowerment driven Deep Reinforcement Learning
- ProxEmo: Gait-based Emotion Learning and Multi-view Proxemic Fusion for Socially-Aware Robot Navigation
- Learning a Representation Map for Robot Navigation using Deep Variational Autoencoder
- Learning Representations Specialized in Spatial Knowledge: Leveraging Language and Vision
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