Beomjoon Kim
16 papers · 2013–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (5) π§ Keyword Pioneer π£ Hot Topic Early Bird π Academic Marathon (12)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π
Keyword Champion
(2)
π±
Topic Pioneer
π§¬
Topic Evolution
ποΈ
Keyword Collector
(71)
π
Trend Setter
π
Century Club
(16)
π
Conference Pioneer
Conferences
CORL (6)
RSS (4)
AAAI (2)
ICLR (2)
NIPS (2)
Top co-authors
Research topics
Keywords
imitation learning
(2)
robot navigation
(2)
task and motion planning
(2)
reinforcement learning
(2)
policy learning
(2)
regret bound
(2)
zero-shot transfer
(2)
non-prehensile manipulation
(2)
relational reasoning
(1)
preference learning
(1)
state abstraction
(1)
motion planning
(1)
transfer learning
(1)
human motion
(1)
black-box optimization
(1)
adversarial learning
(1)
policy iteration
(1)
partially observable markov decision process
(1)
constraint satisfaction
(1)
gaussian process
(1)
Papers
$\textttSPIN$: distilling $\textttSkill-RRT$ 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
NIPS 2018
Maximum Mean Discrepancy Imitation Learning
RSS 2013
Learning from Limited Demonstrations
NIPS 2013