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Revanth Konda

5 accepted papers

2026

Image-Based Closed-Loop Control of a Robotically Steerable Endoscopic Cannula for Minimally Invasive Neurosurgery

ICRA 2026poster

Robot-assisted minimally invasive neurosurgeries have shown great promise in enabling lower invasiveness and faster patient recovery times. However, performing such surgeries remains challenging, mainly due to the use of rigid surgical tools and limited accessibility to deep-seated brain structures.…

Cited by 0Scholar
2025

Model-Based Parameter Selection for a Steerable Continuum Robot - Applications to Bronchoalveolar Lavage (BAL)

RA-L 2025

Bronchoalveolar lavage (BAL) is a minimally invasive procedure for diagnosing lung infections and diseases. However, navigating tortuous lung anatomy to the distal branches of the bronchoalveolar tree for adequate sampling using BAL remains challenging. Continuum robots have been used to improve the

Cited by 3SourceScholar
2024

Model-Based Performance Analysis of Twisted String Actuators With Comparison to Spooled Motor Tendon-Driven Actuators

RA-L 2024

Twisted string actuators (TSA) exhibit desirable traits for robotic applications like enabling high-force actuation. It is important to understand TSAs' key performance metrics to allow for ubiquitous usage. However, performance analysis of TSAs is challenging due to the strong coupling between the

Cited by 5SourceScholar
2021

Experimental Characterization and Modeling of the Self-Sensing Property in Compliant Twisted String Actuators

RA-L 2021

Twisted string actuators (TSAs) have exhibited great promise in robotic applications by generating high translational force with low input torque. Despite great success, it remains a challenge to reliably estimate the strain of TSAs using compact solutions while maintaining actuator compliance. The

Cited by 16SourceScholar
2020

Decentralized Function Approximated Q-Learning in Multi-Robot Systems For Predator Avoidance

RA-L 2020

The nature-inspired behavior of collective motion is found to be an optimal solution in swarming systems for predator avoidance and survival. In this work, we propose a two-level control architecture for multi-robot systems (MRS), which leverages the advantages of flocking control and function appro

Cited by 27SourceScholar