activity
20152025
most citedMulti-path Model and Sensitivity Analysis for Galvanic Coupled Intra-body Communication through Layered Tissue

76 citations · 202 across the 16 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

eess.SP2024★ 1 cited

Mitigation of Radar Range Deception Jamming Using Random Finite Sets

Helena Calatrava, Aanjhan Ranganathan, Tales Imbiriba +3

This paper presents a radar target tracking framework for addressing main-beam range deception jamming attacks using random finite sets (RFSs). Our system handles false alarms and…

cs.RO2024

Reinforcement Learning-Based Model Matching to Reduce the Sim-Real Gap in COBRA

Adarsh Salagame, Harin Kumar Nallaguntla, Bardia Ardakanian +3

This paper employs a reinforcement learning-based model identification method aimed at enhancing the accuracy of the dynamics for our snake robot, called COBRA. Leveraging gradient…

cs.RO2024

Dynamic Posture Manipulation During Tumbling for Closed-Loop Heading Angle Control

Adarsh Salagame, Eric Sihite, Gunar Schirner +1

Passive tumbling uses natural forces like gravity for efficient travel. But without an active means of control, passive tumblers must rely entirely on external forces. Northeastern…

cs.RO2024

Non-impulsive Contact-Implicit Motion Planning for Morpho-functional Loco-manipulation

Adarsh Salagame, Kruthika Gangaraju, Harin Kumar Nallaguntla +3

Object manipulation has been extensively studied in the context of fixed base and mobile manipulators. However, the overactuated locomotion modality employed by snake robots allows…

cs.RO2024

Loco-Manipulation with Nonimpulsive Contact-Implicit Planning in a Slithering Robot

Adarsh Salagame, Kruthika Gangaraju, Harin Kumar Nallaguntla +3

Object manipulation has been extensively studied in the context of fixed base and mobile manipulators. However, the overactuated locomotion modality employed by snake robots allows…

eess.SP2024★ 3 cited

Enhancing Automatic Modulation Recognition for IoT Applications Using Transformers

Narges Rashvand, Kenneth Witham, Gabriel Maldonado +4

Automatic modulation recognition (AMR) is vital for accurately identifying modulation types within incoming signals, a critical task for optimizing operations within edge devices i…