activity
20192026
most citedIntegrating Structure, Information Architecture and Control Design: Application to Tensegrity Systems

21 citations · 57 across the 27 of their papers we have counts for

collaborators

29 papers

physics.space-ph2026

Eclipse Observables for Navigation in Cislunar Space

Ian M. Down, James McElreath, Manoranjan Majji

Autonomous navigation independent of Earth-based tracking remains a challenge for spacecraft operating in cislunar space. This paper proposes onboard eclipse detection as an opport…

eess.SY2026

Output Feedback Backup Control Barrier Functions: Safety Guarantees Under Input Bounds and State Estimation Error

David E. J. van Wijk, Tamas G. Molnar, Samuel Coogan +3

Guaranteeing the safety of controllers is vital for real-world applications, but is markedly difficult when the states are not perfectly known and when the control inputs are bound…

astro-ph.EP2025

Orbit Elements from Kepler Solutions in Projective Coordinates

Joseph T. A. Peterson, Manoranjan Majji, John L. Junkins

Closed-Form Kepler solutions in projective coordinates are used to define a corresponding set of eight orbit elements and obtain their governing equations for arbitrarily-perturbed…

math-ph2025

Linear and Regular Kepler-Manev Dynamics via Projective Transformations: A Geometric Perspective

Joseph T. A. Peterson, Manoranjan Majji, John L. Junkins

This work presents a geometric formulation for transforming nonconservative mechanical Hamiltonian systems and introduces a new method for regularizing and linearizing central forc…

nlin.CD2025

On-Manifold Low-Thrust Rephasing of Quasi-Periodic Orbits

Ian M. Down, Manoranjan Majji, Kathleen C. Howell

A bi-level optimal control framework is introduced to solve the low-thrust re-phasing problem on quasi-periodic invariant tori in multi-body environments where deviations away from…

math.DS2025

Projective Transformations for Regularized Central-Force Dynamics: Hamiltonian Formulation

Joseph T. A. Peterson, Manoranjan Majji, John L. Junkins

This work introduces a Hamiltonian approach to regularization and linearization of central-force particle dynamics through a new canonical extension of the so-called "projective de…

math.OC2025

Direct Pseudospectral Optimal Control by Orthogonal Polynomial Integral Collocation

Thomas L. Ahrens, Ian M. Down, Manoranjan Majji

This paper details a methodology to transcribe an optimal control problem into a nonlinear program for generation of the trajectories that optimize a given functional by approximat…

eess.SY2025

Uncertainty Estimators for Robust Backup Control Barrier Functions

David E. J. van Wijk, Ersin Das, Anil Alan +5

Designing safe controllers is crucial and notoriously challenging for input-constrained safety-critical control systems. Backup control barrier functions offer an approach for the…

eess.SY2025

Safe Multi-agent Satellite Servicing with Control Barrier Functions

Deep Parikh, David van Wijk, Manoranjan Majji

The use of control barrier functions under uncertain pose information of multiple small servicing agents is analyzed for a satellite servicing application. The application consists…

eess.SY2025

Covariance Analysis of Attitude and Angular Rate Estimation using Accelerometers

Koya Yamamoto, Patrick Kelly, Manoranjan Majji +1

In this work a method for using accelerometers for the determination of angular velocity and acceleration is presented. Minimum sensor requirements and insights into how an array o…

cs.RO2024

Magnetic Field Aided Vehicle Localization with Acceleration Correction

Mrunmayee Deshpande, Manoranjan Majji, J. Humberto Ramos

This paper presents a novel approach for vehicle localization by leveraging the ambient magnetic field within a given environment. Our approach involves introducing a global mathem…

cs.RO2024

A Rapid Trajectory Optimization and Control Framework for Resource-Constrained Applications

Deep Parikh, Thomas L. Ahrens, Manoranjan Majji

This paper presents a computationally efficient model predictive control formulation that uses an integral Chebyshev collocation method to enable rapid operations of autonomous age…

cs.RO2024

Robust Proximity Operations using Probabilistic Markov Models

Deep Parikh, Ali Hasnain Khowaja, Manoranjan Majji

A Markov decision process-based state switching is devised, implemented, and analyzed for proximity operations of various autonomous vehicles. The framework contains a pose estimat…

eess.SY2024

Pose estimation of CubeSats via sensor fusion and Error-State Extended Kalman Filter

Deep Parikh, Manoranjan Majji

A pose estimation technique based on error-state extended Kalman that fuses angular rates, accelerations, and relative range measurements is presented in this paper. An unconstrain…

eess.SY2024

Proximity operations of CubeSats via sensor fusion of ultra-wideband range measurements with rate gyroscopes, accelerometers and monocular vision

Deep Parikh, Hasnain Khowaja, Ravi Kumar Thakur +1

A robust pose estimation algorithm based on an extended Kalman filter using measurements from accelerometers, rate gyroscopes, monocular vision and ultra-wideband radar is presente…

eess.SY2024★ 1 cited

Estimation of inertial properties of a rigid structure maneuvered by satellite modules

Deep Parikh, Manoranjan Majji

The LASR Laboratory is investigating the use of free-flying spacecraft modules in several on-orbit, servicing and manufacturing (OSAM) activities. Previous work consists of the sys…

cs.RO2024★ 1 cited

A Scalable Tabletop Satellite Automation Testbed:Design And Experiments

Deep Parikh, Ali Hasnain Khowaja, Nathan Long +4

This paper presents a detailed system design and component selection for the Transforming Proximity Operations and Docking Service (TPODS) module, designed to gain custody of uncon…

eess.SY2024★ 12 cited

Disturbance-Robust Backup Control Barrier Functions: Safety Under Uncertain Dynamics

David E. J. van Wijk, Samuel Coogan, Tamas G. Molnar +2

Obtaining a controlled invariant set is crucial for safety-critical control with control barrier functions (CBFs) but is non-trivial for complex nonlinear systems and constraints.…

cs.CV2024★ 2 cited

Icy Moon Surface Simulation and Stereo Depth Estimation for Sampling Autonomy

Ramchander Bhaskara, Georgios Georgakis, Jeremy Nash +5

Sampling autonomy for icy moon lander missions requires understanding of topographic and photometric properties of the sampling terrain. Unavailability of high resolution visual da…

cs.RO2023★ 3 cited

Deep Reinforcement Learning for Autonomous Spacecraft Inspection using Illumination

David van Wijk, Kyle Dunlap, Manoranjan Majji +1

This paper investigates the problem of on-orbit spacecraft inspection using a single free-flying deputy spacecraft, equipped with an optical sensor, whose controller is a neural ne…

cs.CV2022

Differentiable Rendering for Pose Estimation in Proximity Operations

Ramchander Rao Bhaskara, Roshan Thomas Eapen, Manoranjan Majji

Differentiable rendering aims to compute the derivative of the image rendering function with respect to the rendering parameters. This paper presents a novel algorithm for 6-DoF po…

cs.GR2022★ 4 cited

NaRPA: Navigation and Rendering Pipeline for Astronautics

Roshan Thomas Eapen, Ramchander Rao Bhaskara, Manoranjan Majji

This paper presents the applications of scientific ray-tracing in modeling and simulating light transport for space-borne image data generation. A ray-tracing engine, the Navigatio…

cs.RO2022★ 1 cited

FPGA Hardware Acceleration for Feature-Based Relative Navigation Applications

Ramchander Rao Bhaskara, Manoranjan Majji

Estimation of rigid transformation between two point clouds is a computationally challenging problem in vision-based relative navigation. Targeting a real-time navigation solution…

cs.AR2022★ 1 cited

An FPGA framework for Interferometric Vision-Based Navigation (iVisNav)

Ramchander Rao Bhaskara, Kookjin Sung, Manoranjan Majji

Interferometric Vision-Based Navigation (iVisNav) is a novel optoelectronic sensor for autonomous proximity operations. iVisNav employs laser emitting structured beacons and precis…