Beomjoon Kim
16 papers · 2013–2025 · 5 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (33) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
🏆
Keyword Champion
(3)
🧭
Keyword Pioneer
🧬
Topic Evolution
📈
Trend Setter
🚀
Conference Pioneer
🌈
Renaissance Researcher
(5)
💎
Century Club · Bronze
🗃️
Keyword Collector
(89)
Venues
Top co-authors
Research topics
Artificial Intelligence
(9)
Machine Learning
(9)
Reinforcement Learning
(9)
Applications
(9)
Core AI
(8)
Robotics
(6)
Capabilities
(6)
Learning Types
(6)
Deep Learning
(5)
Architectures
(5)
Methods
(4)
Learning Paradigms · Artificial Intelligence
(3)
Learning Paradigms · Machine Learning
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Keywords
zero-shot transfer
(3)
non-prehensile manipulation
(3)
task and motion planning
(3)
reinforcement learning
(3)
imitation learning
(3)
regret bound
(2)
policy learning
(2)
robot navigation
(2)
3d vision
(1)
preference learning
(1)
state abstraction
(1)
point cloud
(1)
motion planning
(1)
transfer learning
(1)
black-box optimization
(1)
adversarial learning
(1)
human motion
(1)
relational reasoning
(1)
markov decision process
(1)
feature representation
(1)
Papers
SPIN: distilling Skill-RRT for long-horizon prehensile and non-prehensile manipulation
CoRL 2025
A low-cost and lightweight 6 DoF bimanual arm for dynamic and contact-rich manipulation
RSS 2025
Hierarchical and Modular Network on Non-prehensile Manipulation in General Environments
RSS 2025
NeuralSVCD for Efficient Swept Volume Collision Detection
CoRL 2025
An Intuitive Multi-Frequency Feature Representation for SO(3)-Equivariant Networks
ICLR 2024
CORN: Contact-based Object Representation for Nonprehensile Manipulation of General Unseen Objects
ICLR 2024
Local object crop collision network for efficient simulation of non-convex objects in GPU-based simulators
RSS 2023
Preference learning for guiding the tree search in continuous POMDPs
CoRL 2023
A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects
CoRL 2020
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs
CoRL 2020
Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds
AAAI 2020
Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning Experience
AAAI 2019
Learning value functions with relational state representations for guiding task-and-motion planning
CoRL 2019
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior
NeurIPS 2018
Learning from Limited Demonstrations
NeurIPS 2013
Maximum Mean Discrepancy Imitation Learning
RSS 2013