Nawid Jamali

According to our database, Nawid Jamali authored at least 28 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

ViHOPE: Visuotactile In-Hand Object 6D Pose Estimation With Shape Completion.

Hongyu Li, Snehal Dikhale, Soshi Iba, Nawid Jamali

IEEE Robotics Autom. Lett., November, 2023

"How Did They Come Across?" Lessons Learned from Continuous Affective Ratings.

Maria Teresa Parreira, Michael J. Sack, Hifza Javed, Nawid Jamali, Malte F. Jung

CoRR, 2023

What Could a Social Mediator Robot Do? Lessons from Real-World Mediation Scenarios.

Thomas H. Weisswange, Hifza Javed, Manuel Dietrich, Tuan Vu Pham, Maria Teresa Parreira, Michael J. Sack, Nawid Jamali

CoRR, 2023

Group Dynamics: Survey of Existing Multimodal Models and Considerations for Social Mediation.

Hifza Javed, Nawid Jamali

CoRR, 2023

Modeling Group Dynamics for Personalized Robot-Mediated Interactions.

Hifza Javed, Nawid Jamali

CoRR, 2023

Hierarchical Graph Neural Networks for Proprioceptive 6D Pose Estimation of In-hand Objects.

Alireza Rezazadeh, Snehal Dikhale, Soshi Iba, Nawid Jamali

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

CORAE: A Tool for Intuitive and Continuous Retrospective Evaluation of Interactions.

Michael J. Sack, Maria Teresa Parreira, Xiyu Jenny Fu, Asher Lipman, Hifza Javed, Nawid Jamali, Malte F. Jung

Proceedings of the 11th International Conference on Affective Computing and Intelligent Interaction, 2023

2022

VisuoTactile 6D Pose Estimation of an In-Hand Object Using Vision and Tactile Sensor Data.

Snehal Dikhale, Karankumar Patel, Daksh Dhingra, Itoshi Naramura, Akinobu Hayashi, Soshi Iba, Nawid Jamali

IEEE Robotics Autom. Lett., 2022

VisuoSpatial Foresight for physical sequential fabric manipulation.

Ryan Hoque, Daniel Seita, Ashwin Balakrishna, Aditya Ganapathi, Ajay Kumar Tanwani, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg

Auton. Robots, 2022

2021

Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics.

Aditya Ganapathi, Priya Sundaresan, Brijen Thananjeyan, Ashwin Balakrishna, Daniel Seita, Jennifer Grannen, Minho Hwang, Ryan Hoque, Joseph E. Gonzalez, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Learning to Smooth and Fold Real Fabric Using Dense Object Descriptors Trained on Synthetic Color Images.

Aditya Ganapathi, Priya Sundaresan, Brijen Thananjeyan, Ashwin Balakrishna, Daniel Seita, Jennifer Grannen, Minho Hwang, Ryan Hoque, Joseph E. Gonzalez, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg

CoRR, 2020

VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation.

Ryan Hoque, Daniel Seita, Ashwin Balakrishna, Aditya Ganapathi, Ajay Kumar Tanwani, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg

Proceedings of the Robotics: Science and Systems XVI, 2020

Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor.

Daniel Seita, Aditya Ganapathi, Ryan Hoque, Minho Hwang, Edward Cen, Ajay Kumar Tanwani, Ashwin Balakrishna, Brijen Thananjeyan, Jeffrey Ichnowski, Nawid Jamali, Katsu Yamane, Soshi Iba, John F. Canny, Ken Goldberg

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Deep Tactile Experience: Estimating Tactile Sensor Output from Depth Sensor Data.

Karankumar Patel, Soshi Iba, Nawid Jamali

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

Deep Imitation Learning of Sequential Fabric Smoothing Policies.

Daniel Seita, Aditya Ganapathi, Ryan Hoque, Minho Hwang, Edward Cen, Ajay Kumar Tanwani, Ashwin Balakrishna, Brijen Thananjeyan, Jeffrey Ichnowski, Nawid Jamali, Katsu Yamane, Soshi Iba, John F. Canny, Ken Goldberg

CoRR, 2019

Deep Transfer Learning of Pick Points on Fabric for Robot Bed-Making.

Daniel Seita, Nawid Jamali, Michael Laskey, Ajay Kumar Tanwani, Ron Berenstein, Prakash Baskaran, Soshi Iba, John F. Canny, Ken Goldberg

Proceedings of the Robotics Research, 2019

2018

Robot Bed-Making: Deep Transfer Learning Using Depth Sensing of Deformable Fabric.

Daniel Seita, Nawid Jamali, Michael Laskey, Ron Berenstein, Ajay Kumar Tanwani, Prakash Baskaran, Soshi Iba, John F. Canny, Ken Goldberg

CoRR, 2018

2017

Event-driven encoding of off-the-shelf tactile sensors for compression and latency optimisation for robotic skin.

Chiara Bartolozzi, Paolo Motto Ros, Francesco Diotalevi, Nawid Jamali, Lorenzo Natale, Marco Crepaldi, Danilo Demarchi

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Controlled tactile exploration and haptic object recognition.

Massimo Regoli, Nawid Jamali, Giorgio Metta, Lorenzo Natale

Proceedings of the 18th International Conference on Advanced Robotics, 2017

2016

A novel Bayesian filtering approach to tactile object recognition.

Giulia Vezzani, Nawid Jamali, Ugo Pattacini, Giorgio Battistelli, Luigi Chisci, Lorenzo Natale

Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

Active perception: Building objects' models using tactile exploration.

Nawid Jamali, Carlo Ciliberto, Lorenzo Rosasco, Lorenzo Natale

Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

2015

A new design of a fingertip for the iCub hand.

Nawid Jamali, Marco Maggiali, Francesco Giovannini, Giorgio Metta, Lorenzo Natale

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Underwater robot-object contact perception using machine learning on force/torque sensor feedback.

Nawid Jamali, Petar Kormushev, Arnau Carrera Viñas, Marc Carreras, Darwin G. Caldwell

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014

Robot-object contact perception using symbolic temporal pattern learning.

Nawid Jamali, Petar Kormushev, Darwin G. Caldwell

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2012

Tactile sensing: a machine learning approach.

Nawid Jamali

PhD thesis, 2012

Slip prediction using Hidden Markov models: Multidimensional sensor data to symbolic temporal pattern learning.

Nawid Jamali, Claude Sammut

Proceedings of the IEEE International Conference on Robotics and Automation, 2012

2011

Majority Voting: Material Classification by Tactile Sensing Using Surface Texture.

Nawid Jamali, Claude Sammut

IEEE Trans. Robotics, 2011

2010

Material classification by tactile sensing using surface textures.

Nawid Jamali, Claude Sammut

Proceedings of the IEEE International Conference on Robotics and Automation, 2010