Jivko Sinapov

Jivko Sinapov

Tufts University

H-index: 28

North America-United States

About Jivko Sinapov

Jivko Sinapov, With an exceptional h-index of 28 and a recent h-index of 22 (since 2020), a distinguished researcher at Tufts University, specializes in the field of Robotics, Machine Learning, Artificial Intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

A neurosymbolic cognitive architecture framework for handling novelties in open worlds

Dialogue with Robots: Proposals for Broadening Participation and Research in the SLIVAR Community

Helping People Predict the Outcome of Robotic Pouring Behaviors with Augmented Reality

Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning Agents

NovelGym: A Flexible Ecosystem for Hybrid Planning and Learning Agents Designed for Open Worlds

Transferring implicit knowledge of non-visual object properties across heterogeneous robot morphologies

LgTS: Dynamic Task Sampling using LLM-generated sub-goals for Reinforcement Learning Agents

Helping Humans Become Better Teachers for Robots with Augmented Reality

Jivko Sinapov Information

University

Position

Assistant Professor

Citations(all)

3097

Citations(since 2020)

1904

Cited By

1795

hIndex(all)

28

hIndex(since 2020)

22

i10Index(all)

49

i10Index(since 2020)

33

Email

University Profile Page

Tufts University

Google Scholar

View Google Scholar Profile

Jivko Sinapov Skills & Research Interests

Robotics

Machine Learning

Artificial Intelligence

Top articles of Jivko Sinapov

Title

Journal

Author(s)

Publication Date

A neurosymbolic cognitive architecture framework for handling novelties in open worlds

Artificial Intelligence

Shivam Goel

Panagiotis Lymperopoulos

Ravenna Thielstrom

Evan Krause

Patrick Feeney

...

2024/6/1

Dialogue with Robots: Proposals for Broadening Participation and Research in the SLIVAR Community

arXiv preprint arXiv:2404.01158

Casey Kennington

Malihe Alikhani

Heather Pon-Barry

Katherine Atwell

Yonatan Bisk

...

2024/4/1

Helping People Predict the Outcome of Robotic Pouring Behaviors with Augmented Reality

Andre Cleaver

Reuben M Aronson

Jivko Sinapov

2024/2/27

Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning Agents

arXiv preprint arXiv:2402.03678

Yash Shukla

Wenchang Gao

Vasanth Sarathy

Alvaro Velasquez

Robert Wright

...

2024/2/6

NovelGym: A Flexible Ecosystem for Hybrid Planning and Learning Agents Designed for Open Worlds

arXiv preprint arXiv:2401.03546

Shivam Goel

Yichen Wei

Panagiotis Lymperopoulos

Matthias Scheutz

Jivko Sinapov

2024/1/7

Transferring implicit knowledge of non-visual object properties across heterogeneous robot morphologies

Gyan Tatiya

Jonathan Francis

Jivko Sinapov

2023/5/29

LgTS: Dynamic Task Sampling using LLM-generated sub-goals for Reinforcement Learning Agents

arXiv preprint arXiv:2310.09454

Yash Shukla

Wenchang Gao

Vasanth Sarathy

Alvaro Velasquez

Robert Wright

...

2023/10/14

Helping Humans Become Better Teachers for Robots with Augmented Reality

Andre Cleaver

Jivko Sinapov

2023/3/2

Introducing Reinforcement Learning to K-12 Students with Robots and Augmented Reality

Ziyi Zhang

Kevin Lavigne

William Church

Jivko Sinapov

Chris Rogers

2023/4/19

A Framework for Few-Shot Policy Transfer through Observation Mapping and Behavior Cloning

Yash Shukla

Bharat Kesari

Shivam Goel

Robert Wright

Jivko Sinapov

2023/10/1

Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments

arXiv preprint arXiv:2302.14208

Tung Thai

Ming Shen

Mayank Garg

Ayush Kalani

Nakul Vaidya

...

2023/2/28

Demonstrating TRAinAR: An Augmented Reality Tool that Helps Humans Teach Robots

Andre Cleaver

Jivko Sinapov

2023/3/13

Mosaic: Learning unified multi-sensory object property representations for robot perception

arXiv preprint arXiv:2309.08508

Gyan Tatiya

Jonathan Francis

Ho-Hsiang Wu

Yonatan Bisk

Jivko Sinapov

2023/9/15

Cross-tool and cross-behavior perceptual knowledge transfer for grounded object recognition

arXiv preprint arXiv:2303.04023

Gyan Tatiya

Jonathan Francis

Jivko Sinapov

2023/3/7

Automaton-guided curriculum generation for reinforcement learning agents

Proceedings of the International Conference on Automated Planning and Scheduling

Yash Shukla

Abhishek Kulkarni

Robert Wright

Alvaro Velasquez

Jivko Sinapov

2023/7/1

DARA: A Dynamic Augmented Reality Architecture for Human-Robot Interaction

Brennan Patrick Miller-Klugman

Jivko Sinapov

Andre Cleaver

2023/3/2

Multimodal embodied attribute learning by robots for object-centric action policies

Autonomous Robots

Xiaohan Zhang

Saeid Amiri

Jivko Sinapov

Jesse Thomason

Peter Stone

...

2023/6

First Encounters with a Robot: The Value of Augmented Reality for Non-Experts Performing Multiple Tasks with a Mobile Robot

Andre Cleaver

Victoria Chen

Jivko Sinapov

2023/3/2

An architecture for novelty handling in a multi-agent stochastic environment: Case study in open-world monopoly

Tung Thai

Ming Shen

Neeraj Varshney

Sriram Gopalakrishnan

Utkarsh Soni

...

2022

Acute: Automatic curriculum transfer from simple to complex environments

arXiv preprint arXiv:2204.04823

Yash Shukla

Christopher Thierauf

Ramtin Hosseini

Gyan Tatiya

Jivko Sinapov

2022/4/11

See List of Professors in Jivko Sinapov University(Tufts University)

Co-Authors

H-index: 57
Matthias Scheutz

Matthias Scheutz

Tufts University

H-index: 47
Drena Dobbs

Drena Dobbs

Iowa State University

H-index: 40
Cornelia Caragea

Cornelia Caragea

University of Illinois at Chicago

H-index: 26
Alexander Stoytchev

Alexander Stoytchev

Iowa State University

H-index: 24
Jesse Thomason

Jesse Thomason

University of Southern California

H-index: 21
Matteo Leonetti

Matteo Leonetti

University of Leeds

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