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Karl Schmeckpeper — most-cited papers & profile · Robotics
← authors
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overview
Karl Schmeckpeper
20
papers ·
37
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
RoboNet: Large-Scale Multi-Robot Learning
2019 · 16 citations
Uncertainty-driven Planner for Exploration and Navigation
2022 · 2 citations
Scaling Short-Term Memory of Visuomotor Policies for Long-Horizon Tasks
2026
ExpertGen: Scalable Sim-to-Real Expert Policy Learning from Imperfect Behavior Priors
2026
SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning
2026
Sceniris: A Fast Procedural Scene Generation Framework
2025
AnyTask: an Automated Task and Data Generation Framework for Advancing Sim-to-Real Policy Learning
2025
Real-is-Sim: Bridging the Sim-to-Real Gap with a Dynamic Digital Twin
2025
Reactive Navigation in Partially Familiar Planar Environments Using Semantic Perceptual Feedback
2020
Imagination Policy: Using Generative Point Cloud Models for Learning Manipulation Policies
2024
Theia: Distilling Diverse Vision Foundation Models for Robot Learning
2024
On-Robot Reinforcement Learning with Goal-Contrastive Rewards
2024
Top co-authors
Maria Vittoria Minniti
· 4
Jinghuan Shang
· 3
Lingfeng Sun
· 3
Ondrej Biza
· 3
Ran Gong
· 3
Xiaohan Zhang
· 3
Harsh Patel
· 2
Kostas Daniilidis
· 2
Robert Platt
· 2
Thomas Weng
· 2
Chelsea Finn
· 1
David Watkins
· 1
Topics
Manipulation
Control
Sim-to-Real
Perception
Navigation
Multi-Robot