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20222025
most citedLearning Robust Policies for Generalized Debris Capture with an Automated Tether-Net System

7 citations · 7 across the 4 of their papers we have counts for

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5 papers · 1 filter

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.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.RO20227 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…