Sethu Vijayakumar
23 papers · 2006–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (50) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Deep Specialist
(10)
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Keyword Champion
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Keyword Pioneer
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Keyword Trendsetter Combo
(6)
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Topic Evolution
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Renaissance Researcher
(6)
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Conference Pioneer
ποΈ
Keyword Collector
(146)
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Trend Setter
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Century Club Β· Bronze
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Unstoppable Β· Bronze
Top co-authors
Research topics
Robotics
(14)
Capabilities
(14)
Machine Learning
(13)
Artificial Intelligence
(11)
Reinforcement Learning
(9)
Core AI
(9)
Optimization & Theory
(9)
Applications
(7)
Learning Types
(6)
Mathematics & Optimization
(5)
Bayesian & Probabilistic Β· Machine Learning
(5)
Bayesian & Probabilistic Β· Artificial Intelligence
(5)
Optimization
(5)
Core Methods
(4)
Methods
(4)
Keywords
optimal control
(4)
bayesian inference
(4)
approximate inference
(3)
expectation maximization
(3)
variational inference
(2)
gaussian processes
(2)
em algorithm
(2)
inverse dynamics
(2)
force control
(2)
temporal optimization
(2)
reinforcement learning
(2)
motion planning
(2)
gaussian process
(2)
robot control
(2)
motor adaptation
(1)
multi-task learning
(1)
bayesian learning
(1)
semi-supervised learning
(1)
robotic manipulation
(1)
function approximation
(1)
Papers
Fast Flow-based Visuomotor Policies via Conditional Optimal Transport Couplings
CoRL 2025
Learning Precise Affordances from Egocentric Videos for Robotic Manipulation
ICCV 2025
Poke and Strike: Learning Task-Informed Exploration Policies
CoRL 2025
Learning Visuotactile Estimation and Control for Non-prehensile Manipulation under Occlusions
CoRL 2024
ROS-PyBullet Interface: A Framework for Reliable Contact Simulation and Human-Robot Interaction
CoRL 2022
Skill-based Shared Control
RSS 2021
Equivalence of the Projected Forward Dynamics and the Dynamically Consistent Inverse Solution
RSS 2019
Dyadic collaborative Manipulation through Hybrid Trajectory Optimization
CoRL 2018
Learning Constrained Generalizable Policies by Demonstration
RSS 2017
A Framework for Testing Identifiability of Bayesian Models of Perception
NeurIPS 2014
On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference (Extended Abstract)
IJCAI 2013
Path Integral Control by Reproducing Kernel Hilbert Space Embedding
IJCAI 2013
Exploiting Passive Dynamics with Variable Stiffness Actuation in Robot Brachiation
RSS 2012
Hierarchical Motion Planning in Topological Representations
RSS 2012
On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference
RSS 2012
Exploiting Variable Stiffness in Explosive Movement Tasks
RSS 2011
Active Sequential Learning with Tactile Feedback
AISTATS 2010
An Approximate Inference Approach to Temporal Optimization in Optimal Control
NeurIPS 2010
A Library for Locally Weighted Projection Regression
JMLR 2008
Bayesian Kernel Shaping for Learning Control
NeurIPS 2008
Multi-task Gaussian Process Learning of Robot Inverse Dynamics
NeurIPS 2008
Unifying the Sensory and Motor Components of Sensorimotor Adaptation
NeurIPS 2008
Part-based Probabilistic Point Matching using Equivalence Constraints
NeurIPS 2006