Karl Schmeckpeper
9 papers · 2019–2024 · 5 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (24) 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird
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Keyword Pioneer
🗃️
Keyword Collector
(52)
Top co-authors
Research topics
Artificial Intelligence
(7)
Machine Learning
(5)
Robotics
(5)
Core AI
(5)
Deep Learning
(4)
Reinforcement Learning
(4)
Applications
(4)
Capabilities
(4)
Learning Types · Machine Learning
(4)
Computer Vision
(3)
Analysis
(3)
Architectures
(2)
Learning Paradigms
(2)
Learning Types · Deep Learning
(2)
Models
(2)
Keywords
sample efficiency
(2)
robotic manipulation
(2)
path planning
(1)
vision-language navigation
(1)
cross-modal learning
(1)
robot learning
(1)
uncertainty quantification
(1)
transfer learning
(1)
expectation maximization
(1)
point cloud
(1)
multi-task learning
(1)
object goal navigation
(1)
reinforcement learning
(1)
exploration-exploitation tradeoff
(1)
unsupervised segmentation
(1)
entropy
(1)
offline learning
(1)
3d object segmentation
(1)
generative model
(1)
unsupervised learning
(1)
Papers
IMAGINATION POLICY: Using Generative Point Cloud Models for Learning Manipulation Policies
CoRL 2024
Theia: Distilling Diverse Vision Foundation Models for Robot Learning
CoRL 2024
EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision
CVPR 2023
Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets
RSS 2022
Cross-Modal Map Learning for Vision and Language Navigation
CVPR 2022
Learning to Map for Active Semantic Goal Navigation
ICLR 2022
Learning Predictive Models from Observation and Interaction
ECCV 2020
Reinforcement Learning with Videos: Combining Offline Observations with Interaction
CoRL 2020
RoboNet: Large-Scale Multi-Robot Learning
CoRL 2019