activity
20242026
most citedFaster Model Predictive Control via Self-Supervised Initialization Learning

1 citations · 1 across the 7 of their papers we have counts for

collaborators
Showing cs.ROShow all

5 papers · 1 filter

cs.RO2026

Temporal Logic Guidance for Action-Only Diffusion Policies with World Models

Moritz Zoellner, Anastasios Manganaris, Rohan Paleja

Diffusion policies enable multimodal robot behavior but offer limited ability to choose among behavior modes at inference time, even though such control is desirable in human-robot…

cs.RO2026

Heterogeneous Policy Networks for Composite Robot Team Communication and Coordination

Esmaeil Seraj, Rohan Paleja, Luis Pimentel +7

High-performing human-human teams learn intelligent and efficient communication and coordination strategies to maximize their joint utility. These teams implicitly understand the d…

cs.RO2026

Event-Grounded Sparse Autoencoders for Vision-Language-Action Policies

Xinchen Jin, Aditya Chatterjee, Pranav Kumar +1

Vision-Language-Action (VLA) policies translate language and visual inputs into robot actions, where their hidden representations directly shape closed-loop behavior. However, mech…

cs.RO20251 cited

Faster Model Predictive Control via Self-Supervised Initialization Learning

Zhaoxin Li, Xiaoke Wang, Letian Chen +3

Model Predictive Control (MPC) is widely used in robot control by optimizing a sequence of control outputs over a finite-horizon. Computational approaches for MPC include determini…

cs.RO2024

Designs for Enabling Collaboration in Human-Machine Teaming via Interactive and Explainable Systems

Rohan Paleja, Michael Munje, Kimberlee Chang +2

Collaborative robots and machine learning-based virtual agents are increasingly entering the human workspace with the aim of increasing productivity and enhancing safety. Despite t…