activity
20222026
most citedLearning Robust Policies for Generalized Debris Capture with an Automated Tether-Net System

7 citations · 7 across the 10 of their papers we have counts for

collaborators

12 papers

cs.RO2026

Feeling Through the Load: Compliant Quadruped Locomotion under Payload Interactions

Shaunak A. Mehta, Mayank Mishra, Prajit KrisshnaKumar +2

Quadruped robots are increasingly expected to carry objects while moving through human environments. But what happens when a person interacts directly with the payload rather than…

cs.RO2026

Return-to-Home Feasible Micro-Aerial Vehicle Exploration for 3D Gaussian Splatting Reconstruction

Prajit Krisshnakumar, Fan Yang, Koichiro Niinuma

Micro aerial vehicles (MAVs) enable rapid indoor 3D reconstruction for inspection and time-critical situational awareness, but must operate under strict flight-time budgets and saf…

cs.RO2026

IndoorR2X: Indoor Robot-to-Everything Coordination with LLM-Driven Planning

Fan Yang, Soumya Teotia, Shaunak A. Mehta +8

Although robot-to-robot (R2R) communication improves indoor scene understanding beyond what a single robot can achieve, R2R alone cannot overcome partial observability without subs…

cs.RO2025

Learning Approach to Efficient Vision-based Active Tracking of a Flying Target by an Unmanned Aerial Vehicle

Jagadeswara PKV Pothuri, Aditya Bhatt, Prajit KrisshnaKumar +2

Autonomous tracking of flying aerial objects has important civilian and defense applications, ranging from search and rescue to counter-unmanned aerial systems (counter-UAS). Groun…

cs.RO2025

Experimental Setup and Software Pipeline to Evaluate Optimization based Autonomous Multi-Robot Search Algorithms

Aditya Bhatt, Mary Katherine Corra, Franklin Merlo +2

Signal source localization has been a problem of interest in the multi-robot systems domain given its applications in search & rescue and hazard localization in various industrial…

cs.RO2024

A Talent-infused Policy-gradient Approach to Efficient Co-Design of Morphology and Task Allocation Behavior of Multi-Robot Systems

Prajit KrisshnaKumar, Steve Paul, Souma Chowdhury

Interesting and efficient collective behavior observed in multi-robot or swarm systems emerges from the individual behavior of the robots. The functional space of individual robot…

cs.RO2024

An Open-source Hardware/Software Architecture and Supporting Simulation Environment to Perform Human FPV Flight Demonstrations for Unmanned Aerial Vehicle Autonomy

Haosong Xiao, Prajit Krisshnakumar, Jagadeswara P K V Pothuri +3

Small multi-rotor unmanned aerial vehicles (UAVs), mainly quadcopters, are nowadays ubiquitous in research on aerial autonomy, including serving as scaled-down models for much larg…

cs.RO2024

Towards Physically Talented Aerial Robots with Tactically Smart Swarm Behavior thereof: An Efficient Co-design Approach

Prajit KrisshnaKumar, Steve Paul, Hemanth Manjunatha +3

The collective performance or capacity of collaborative autonomous systems such as a swarm of robots is jointly influenced by the morphology and the behavior of individual systems…

cs.MA2023

Fast Decision Support for Air Traffic Management at Urban Air Mobility Vertiports using Graph Learning

Prajit KrisshnaKumar, Jhoel Witter, Steve Paul +3

Urban Air Mobility (UAM) promises a new dimension to decongested, safe, and fast travel in urban and suburban hubs. These UAM aircraft are conceived to operate from small airports…

eess.SY2023

Learning Constrained Corner Node Trajectories of a Tether Net System for Space Debris Capture

Feng Liu, Achira Boonrath, Prajit KrisshnaKumar +2

The earth's orbit is becoming increasingly crowded with debris that poses significant safety risks to the operation of existing and new spacecraft and satellites. The active tether…

cs.RO2022

Efficient Concurrent Design of the Morphology of Unmanned Aerial Systems and their Collective-Search Behavior

Chen Zeng, Prajit KrisshnaKumar, Jhoel Witter +1

The collective operation of robots, such as unmanned aerial vehicles (UAVs) operating as a team or swarm, is affected by their individual capabilities, which in turn is dependent o…

cs.RO2022★ 7 cited

Learning Robust Policies for Generalized Debris Capture with an Automated Tether-Net System

Chen Zeng, Grant Hecht, Prajit KrisshnaKumar +3

Tether-net launched from a chaser spacecraft provides a promising method to capture and dispose of large space debris in orbit. This tether-net system is subject to several sources…