Sethu Vijayakumar
23 papers · 2006–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (20) π£ Hot Topic Early Bird
π
Cross-Pollinator
(10)
πΊοΈ
Taxonomy Completionist
(20)
π§
Keyword Pioneer
π
Keyword Trendsetter Combo
(6)
π±
Topic Pioneer
π
Keyword Champion
(2)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(54)
π
Trend Setter
π
Conference Pioneer
π
Century Club
(23)
π₯
Unstoppable
(5)
Conferences
RSS (7)
NIPS (6)
CORL (5)
IJCAI (2)
AISTATS (1)
ICCV (1)
JMLR (1)
Top co-authors
Research topics
Keywords
optimal control
(4)
bayesian inference
(4)
approximate inference
(3)
motion planning
(2)
em algorithm
(2)
temporal optimization
(2)
robot control
(2)
gaussian processes
(2)
force control
(2)
variational inference
(2)
gaussian process
(2)
inverse dynamics
(2)
point matching
(1)
multi-task learning
(1)
motor adaptation
(1)
bayesian learning
(1)
semi-supervised learning
(1)
motion synthesis
(1)
robotic manipulation
(1)
semantic segmentation
(1)
Papers
Learning Precise Affordances from Egocentric Videos for Robotic Manipulation
ICCV 2025
Fast Flow-based Visuomotor Policies via Conditional Optimal Transport Couplings
CORL 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
NIPS 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
On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference
RSS 2012
Exploiting Passive Dynamics with Variable Stiffness Actuation in Robot Brachiation
RSS 2012
Hierarchical Motion Planning in Topological Representations
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
NIPS 2010
A Library for Locally Weighted Projection Regression
JMLR 2008
Bayesian Kernel Shaping for Learning Control
NIPS 2008
Multi-task Gaussian Process Learning of Robot Inverse Dynamics
NIPS 2008
Unifying the Sensory and Motor Components of Sensorimotor Adaptation
NIPS 2008
Part-based Probabilistic Point Matching using Equivalence Constraints
NIPS 2006