Publications

2026

Bridging Safety and Performance in Autonomous Systems using Offline Reinforcement Learning
NeurIPS'26
Bridging Safety and Performance in Autonomous Systems using Offline Reinforcement Learning
Mumuksh Tayal*, Manan Tayal*, R Prakash
* Equal contribution
Preliminary version appeared at ICML 2026 Workshop: Agents in the Wild (AIWILD)
DiffusionPack: Offline Bin Packing with Custom Human Preferences
RA-L'26
DiffusionPack: Offline Bin Packing with Custom Human Preferences
A Maurya, S Vats, G Balachandran, R Prakash
Preliminary version appeared at NeurIPS 2025 Workshop: Bridging Language, Agent, and World Models for Robotics
V-OCBF: Learning Safety Filters from Offline Data via Value-Guided Offline Control Barrier Functions
TMLR'26
V-OCBF: Learning Safety Filters from Offline Data via Value-Guided Offline Control Barrier Functions
Mumuksh Tayal*, Manan Tayal*, A Singh, S Kolathaya, R Prakash
* Equal contribution
Preliminary version appeared at AAAI 2026 Workshop on Deployable AI (DAI) (Oral)
Sequentially Teaching Sequential Tasks (ST)2: Teaching Robots Long-Horizon Manipulation Skills
RA-M'26
Sequentially Teaching Sequential Tasks (ST)2: Teaching Robots Long-Horizon Manipulation Skills
Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution
IROS'26
Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution
H Zhang, K Nguyen, C Munasinghe, B Hela, T Li, Z Luo, H Nguyen, HW van de Venn, Y Zheng, R Prakash, TD Ta, A Nguyen, B Huang
Gripper-aware Vision Language Action Models
ECCV'26
Gripper-aware Vision Language Action Models
H Zhang, Z Luo, T Li, K Nguyen, B Hela, S Kumar, ND Tran, F Dai, C Munasinghe, J Peña Queralta, G Toffetti, K Vo, N Le, R Prakash, Q Vuong, TD Ta, L Hu, A Nguyen, B Huang
Safe Flow Q-Learning: Offline Safe Reinforcement Learning with Reachability-Based Flow Policies
RLC'26
Safe Flow Q-Learning: Offline Safe Reinforcement Learning with Reachability-Based Flow Policies
Mumuksh Tayal*, Manan Tayal*, R Prakash
* Equal contribution
Preliminary version appeared at ICML 2026 Workshop: Agents in the Wild (AIWILD)
AffordMatcher: Affordance Learning in 3D Scenes from Visual Signifiers
CVPR'26
AffordMatcher: Affordance Learning in 3D Scenes from Visual Signifiers
N Vu, T Do, K Nguyen, B Huang, N Le, BX Nguyen, E Tjiputra, QD Tran, R Prakash, T-C Chiu, A Nguyen
SafeDMPs: Integrating Formal Safety with DMPs for Adaptive HRI
ICRA'26
SafeDMPs: Integrating Formal Safety with DMPs for Adaptive HRI
P Tiwari, S Nath, R Prakash
Preliminary version appeared at CoRL 2025 2nd Workshop: Safe and Robust Robot Learning for Operation in the Real World
Beyond the Teacher: Leveraging Mixed-Skill Demonstrations for Robust Imitation Learning
ICRA'26
Beyond the Teacher: Leveraging Mixed-Skill Demonstrations for Robust Imitation Learning
S Saharsh*, S Sonkar*, P Jagtap, R Prakash
* Equal contribution
Preliminary version appeared at CoRL 2025 Workshop: Making Sense of Data in Robotics: Composition, Quality, and Data-centric Approaches
Safe and Optimal Variable Impedance Control via Certified Reinforcement Learning
ICRA'26
Safe and Optimal Variable Impedance Control via Certified Reinforcement Learning
Preview coming soon
CoRLW'26
Corrections Are Evidence, Not Targets: Operator-Aware Inversion for Adapting Frozen Generative Robot Policies
R Jadhav, S Bobade, S Viswanathan, SK Vidyarthi, L Nageswar, R Prakash
Preview coming soon
RSSW'26
Where Reasoning Does Not Matter: Isolating Chain-of-Thought in a Modular, Agentic VLM Manipulation Pipeline
Preview coming soon
ICRAW'26
Latent Dynamics Modulation Guidance for Semantic Obstacle Avoidance in Diffusion Policies
Preview coming soon
ICRAW'26
The Topological Cage: A Search-Less Geometric Handshake for Medial Axis Injection
Preview coming soon
CVPRW'26
GenieMotion: Learning Object-Centric 4D Motion Representations from a Single Image via Generative Demonstrations
Preview coming soon
ICRAW'26
State-Corrected Predictive Preference Learning for Multimodal Robot Navigation on Uneven Terrain
R Jadhav, AK Singh, S Ganguly, R Prakash, V Kumar

2025

OVITA: Open-Vocabulary Interpretable Trajectory Adaptations
RA-L'25
OVITA: Open-Vocabulary Interpretable Trajectory Adaptations
A Maurya, T Ghosh, A Nguyen, R Prakash
Preliminary version appeared at CoRL 2024 Workshop on Language and Robot Learning (LangRob)
Generalizable motion policies through keypoint parameterization and transportation maps
T-RO'25
Generalizable motion policies through keypoint parameterization and transportation maps
Impedance Primitive-Augmented Hierarchical Reinforcement Learning for Sequential Tasks
ICRA'25
Impedance Primitive-Augmented Hierarchical Reinforcement Learning for Sequential Tasks
AB Tahmaz, R Prakash, J Kober
RISE: Robust Imitation through Stochastic Encodings
IROSW'25
RISE: Robust Imitation through Stochastic Encodings
Mumuksh Tayal, Manan Tayal, R Prakash
PACER: Progress-Aligned Curation for Error-Resilient Imitation Learning
CoRLW'25
PACER: Progress-Aligned Curation for Error-Resilient Imitation Learning

2024

Adaptive Critic Optimal Control of an Uncertain Robot Manipulator With Applications
T-CST'24
Adaptive Critic Optimal Control of an Uncertain Robot Manipulator With Applications
3rd Workshop on Human-Interactive Robot Learning (HIRL)
HRI'24
3rd Workshop on Human-Interactive Robot Learning (HIRL)
M Racca, R Mirsky, E Senft, X Xiao, I Idrees, A Kshirsagar, R Prakash