activity
20242026
most citedData-Driven Sampling Based Stochastic MPC for Skid-Steer Mobile Robot Navigation

1 citations · 1 across the 10 of their papers we have counts for

collaborators

11 papers

cs.RO2026

Universal Navigation Interface: Robot-Free Data for Wheeled Robot Navigation

Sarvesh Prajapati, Ananya Trivedi, Lorena Maria Genua +3

Collecting real-world navigation data for mobile robots typically requires platform-specific teleoperation, making large-scale collection expensive and difficult to scale. We intro…

cs.RO2026

Accelerating Optimization over Graphs of Convex Sets via Neural Network Approximations

Ananya Trivedi, Sarvesh Prajapati, Mohamed Khalid M Jaffar +3

Motion planning problems such as collision-free navigation and contact-rich manipulation can be naturally formulated as optimization problems that couple discrete decisions with co…

cs.RO2026

Layered Risk Mapping for Autonomous Patient Transport in Expeditionary Medical Facilities

Lorena Maria Genua, Sarvesh Prajapati, Damla Leblebicioglu +1

In expeditionary medical facilities, routine patient transport imposes a compounding burden of personal protective equipment consumption, staff diversion, and elevated infection ri…

cs.RO2026

Socially-Aware Autonomous Doorway Traversal and Payload Delivery for Emergency Assistance

Andrew Snowdy, Ananya Trivedi, Sarvesh Prajapati +2

In this work, we focus on the scenario of a robot-assisted emergency evacuation. We consider two capabilities relevant to such a setting. The first is opening doors ahead of the pe…

cs.RO2025

Spectral Signature Mapping from RGB Imagery for Terrain-Aware Navigation

Sarvesh Prajapati, Ananya Trivedi, Nathaniel Hanson +2

Successful navigation in outdoor environments requires accurate prediction of the physical interactions between the robot and the terrain. Many prior methods rely on geometric or s…

cs.RO2025

Re4MPC: Reactive Nonlinear MPC for Multi-model Motion Planning via Deep Reinforcement Learning

Neşet Ünver Akmandor, Sarvesh Prajapati, Mark Zolotas +1

Traditional motion planning methods for robots with many degrees-of-freedom, such as mobile manipulators, are often computationally prohibitive for real-world settings. In this pap…

cs.RO2024

Forest Biomass Mapping with Terrestrial Hyperspectral Imaging for Wildfire Risk Monitoring

Nathaniel Hanson, Sarvesh Prajapati, James Tukpah +2

With the rapid increase in wildfires in the past decade, it has become necessary to detect and predict these disasters to mitigate losses to ecosystems and human lives. In this pap…

cs.RO2024

Chance-Constrained Convex MPC for Robust Quadruped Locomotion Under Parametric and Additive Uncertainties

Ananya Trivedi, Sarvesh Prajapati, Mark Zolotas +2

Recent advances in quadrupedal locomotion have focused on improving stability and performance across diverse environments. However, existing methods often lack adequate safety anal…

cs.RO2024★ 1 cited

Data-Driven Sampling Based Stochastic MPC for Skid-Steer Mobile Robot Navigation

Ananya Trivedi, Sarvesh Prajapati, Anway Shirgaonkar +2

Traditional approaches to motion modeling for skid-steer robots struggle with capturing nonlinear tire-terrain dynamics, especially during high-speed maneuvers. In this paper, we t…

cs.RO2024

Predictive Mapping of Spectral Signatures from RGB Imagery for Off-Road Terrain Analysis

Sarvesh Prajapati, Ananya Trivedi, Bruce Maxwell +1

Accurate identification of complex terrain characteristics, such as soil composition and coefficient of friction, is essential for model-based planning and control of mobile robots…

cs.RO2024

A Probabilistic Motion Model for Skid-Steer Wheeled Mobile Robot Navigation on Off-Road Terrains

Ananya Trivedi, Mark Zolotas, Adeeb Abbas +3

Skid-Steer Wheeled Mobile Robots (SSWMRs) are increasingly being used for off-road autonomy applications. When turning at high speeds, these robots tend to undergo significant skid…