Seminar: Robot Learning- WS 22/23
Please go through the list of papers to be discussed and select your top three (3) choices below.
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Please select three papers: (Priority 1 is the highest priority)
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Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations (Roefer)
Self-Supervised Learning of Scene-Graph Representations for Robotic Sequential Manipulation Planning (Roefer)
Where2Act: From Pixels to Actions for Articulated 3D Objects (Heppert)
Fit2Form: 3D Generative Model for Robot Gripper Form Design (Heppert)
CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation (Chisari)
PERCEIVER-ACTOR: A Multi-Task Transformer for Robotic Manipulation (Chisari)
Lepard: Learning partial point cloud matching in rigid and deformable scenes (Arce)
4D-StOP: Panoptic Segmentation of 4D LiDAR using Spatio-temporal Object Proposal Generation and Aggregation (Arce)
CoBEVT: Cooperative Bird’s Eye View Semantic Segmentation with Sparse Transformers (Gosala)
Learning Interpretable End-to-End Vision-Based Motion Planning for Autonomous Driving with Optical Flow Distillation (Gosala)
Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation (Mohan)
ADAPT: Vision-Language Navigation with Modality-Aligned Action Prompts (Mohan)
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