Neha Pusalkar

Neha Pusalkar

Ph.D. Candidate, Robotics and A.I.

Posts by Collection

portfolio

publications

Preliminary design and performance test of tendon-driven origami-inspired soft peristaltic robot

Published in 2018 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2018

A preliminary design and performance evaluation of a tendon-driven origami-inspired soft peristaltic robot.

Recommended citation: Hritwick Banerjee*, Neha Pusalkar*, and Hongliang Ren. Preliminary design and performance test of tendon-driven origami-inspired soft peristaltic robot. 2018 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1214-1219, 2018.
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Single-motor controlled tendon-driven peristaltic soft origami robot

Published in Journal of Mechanisms and Robotics, 2018

A novel soft origami robot design that uses a single motor to control tendon-driven peristaltic motion for locomotion.

Recommended citation: Hritwick Banerjee, Neha Pusalkar, and Hongliang Ren. Single-motor controlled tendon-driven peristaltic soft origami robot. Journal of Mechanisms and Robotics, 10(6), 064501.
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Path loss exponent estimation for wireless sensor node positioning: Practical approach

Published in 2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), 2018

A practical approach for estimating path loss exponent in wireless sensor networks for improved node positioning accuracy.

Recommended citation: Vaishnavi Dharmadhikari, Neha Pusalkar, and Pradnya Ghare. Path loss exponent estimation for wireless sensor node positioning: Practical approach. 2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), 1-4.
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Elephants don’t pack groceries: robot task planning for low entropy belief states

Published in IEEE Robotics and Automation Letters, 2021

A novel approach for robot task planning in low entropy belief states, exploring the challenges of grocery packing tasks.

Recommended citation: Alphonsus Adu-Bredu, Zhen Zeng, Neha Pusalkar, and Odest Chadwicke Jenkins. Elephants don't pack groceries: robot task planning for low entropy belief states. IEEE Robotics and Automation Letters, 7(1), 25-32, 2021.
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Angle-Regulated Transformer Network for Pedestrian Trajectory Prediction

Published in IJCAI '21 Artificial Intelligence for Autonomous Driving Workshop (AI4AD '21), 2021

Angle-regulated transformer network for pedestrian trajectory prediction.

Recommended citation: Xiaoxiao Du, Neha Pusalkar, Ram Vasudevan, and M Johnson-Roberson. Angle-Regulated Transformer Network for Pedestrian Trajectory Prediction. IJCAI '21 Artificial Intelligence for Autonomous Driving Workshop (AI4AD '21), 2021.
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Autonomous Underwater Robot Grasping Decision Support System

Published in Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

A decision support system for autonomous underwater robot grasping, focusing on human-robot interaction.

Recommended citation: Neha G Pusalkar and Mark-Robin Giolando and Julie A Adams. Autonomous Underwater Robot Grasping Decision Support System. Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 887-888, 2023.
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Decision support system for autonomous underwater robot grasping

Published in Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

A decision support system for autonomous underwater robot grasping in human-robot interaction scenarios.

Recommended citation: Neha G Pusalkar, Mark-Robin Giolando, and Julie A Adams. Decision support system for autonomous underwater robot grasping. Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 198-202, 2023.
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Leader-Based Coalition Formation for Extremely Large Scale Collectives

Published in 2025 IEEE Conference on Artificial Intelligence (CAI) (Acceptance Rate: 34%), 2025

A novel approach for coalition formation in extremely large scale collectives using leader-based strategies.

Recommended citation: Neha G Pusalkar and Julie A Adams. Leader-Based Coalition Formation for Extremely Large Scale Collectives. 2025 IEEE Conference on Artificial Intelligence (CAI) (Acceptance Rate: 34%), 2025.
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Paper Title Number 5

Published in , 2025

title: “Paper Title Number 5, with math \(E=mc^2\)”

collection: publications

category: conferences

permalink: /publication/2024-02-17-paper-title-number-4

excerpt: ‘This paper is about a famous math equation, \(E=mc^2\)’

date: 2024-02-17

venue: ‘GitHub Journal of Bugs’

paperurl: ‘http://academicpages.github.io/files/paper3.pdf’

citation: ‘Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).’

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Extremely Large Collective Coalition Formation: Scalability

Published in 2026 International Conference on Autonomous Agents and Multi-agent Systems (AAMAS) (Acceptance Rate: 25%), 2026

Leader-level hedonic game for coalition formation: LN-GRAPE-S

Recommended citation: Neha G Pusalkar and Julie A Adams. Extremely Large Collective Coalition Formation: Scalability. 2026 International Conference on Autonomous Agents and Multi-agent Systems (AAMAS) (Acceptance Rate: 25%), 2026.
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Preemptive Multiple Robot Coalition Reformation

Published in 2026 International Symposium on Distributed Autonomous Robotic Systems (DARS), 2026

Recommended citation: Neha G Pusalkar and Julie A Adams. Preemptive Multiple Robot Coalition Reformation. 2026 International Symposium on Distributed Autonomous Robotic Systems (DARS), 2026.

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.