activity
20182026
most citedSICNav: Safe and Interactive Crowd Navigation using Model Predictive Control and Bilevel Optimization

17 citations · 22 across the 7 of their papers we have counts for

collaborators

9 papers

cs.RO2026

geodex: A Library for Motion Planning on Riemannian Manifolds

Phone Thiha Kyaw, Ben Wei, Sepehr Samavi +2

Planning motions that respect the intrinsic geometry of a robot's configuration space, including its curvature and a configuration-dependent notion of cost, yields shorter, lower-e…

cs.RO2025★ 1 cited

SM2ITH: Safe Mobile Manipulation with Interactive Human Prediction via Task-Hierarchical Bilevel Model Predictive Control

Francesco D'Orazio, Sepehr Samavi, Xintong Du +3

Mobile manipulators are designed to perform complex sequences of navigation and manipulation tasks in human-centered environments. While recent optimization-based methods such as H…

cs.RO2025

Deploying SICNav in the Field: Safe and Interactive Crowd Navigation using MPC and Bilevel Optimization

Sepehr Samavi, Garvish Bhutani, Florian Shkurti +1

Safe and efficient navigation in crowded environments remains a critical challenge for robots that provide a variety of service tasks such as food delivery or autonomous wheelchair…

cs.RO2025★ 3 cited

SICNav-Diffusion: Safe and Interactive Crowd Navigation with Diffusion Trajectory Predictions

Sepehr Samavi, Anthony Lem, Fumiaki Sato +5

To navigate crowds without collisions, robots must interact with humans by forecasting their future motion and reacting accordingly. While learning-based prediction models have sho…

cs.RO2023★ 17 cited

SICNav: Safe and Interactive Crowd Navigation using Model Predictive Control and Bilevel Optimization

Sepehr Samavi, James R. Han, Florian Shkurti +1

Robots need to predict and react to human motions to navigate through a crowd without collisions. Many existing methods decouple prediction from planning, which does not account fo…

cs.RO2023★ 1 cited

Does Unpredictability Influence Driving Behavior?

Sepehr Samavi, Florian Shkurti, Angela P. Schoellig

In this paper we investigate the effect of the unpredictability of surrounding cars on an ego-car performing a driving maneuver. We use Maximum Entropy Inverse Reinforcement Learni…