Arsalan Mousavian

Orcid: 0000-0001-9356-9455

According to our database1, Arsalan Mousavian authored at least 45 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
ProgPrompt: program generation for situated robot task planning using large language models.
Auton. Robots, December, 2023

Deep Learning Approaches to Grasp Synthesis: A Review.
IEEE Trans. Robotics, October, 2023

Constrained Generative Sampling of 6-DoF Grasps.
IROS, 2023

ProgPrompt: Generating Situated Robot Task Plans using Large Language Models.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

CabiNet: Scaling Neural Collision Detection for Object Rearrangement with Procedural Scene Generation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

M2T2: Multi-Task Masked Transformer for Object-centric Pick and Place.
Proceedings of the Conference on Robot Learning, 2023

2022
DexTransfer: Real World Multi-fingered Dexterous Grasping with Minimal Human Demonstrations.
CoRR, 2022

IFOR: Iterative Flow Minimization for Robotic Object Rearrangement.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare.
Proceedings of the Conference on Robot Learning, 2022

Learning Robust Real-World Dexterous Grasping Policies via Implicit Shape Augmentation.
Proceedings of the Conference on Robot Learning, 2022

2021
Unseen Object Instance Segmentation for Robotic Environments.
IEEE Trans. Robotics, 2021

PoseRBPF: A Rao-Blackwellized Particle Filter for 6-D Object Pose Tracking.
IEEE Trans. Robotics, 2021

Interpreting and predicting tactile signals for the SynTouch BioTac.
Int. J. Robotics Res., 2021

Fast Joint Space Model-Predictive Control for Reactive Manipulation.
CoRR, 2021

NeRP: Neural Rearrangement Planning for Unknown Objects.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Reactive Long Horizon Task Execution via Visual Skill and Precondition Models.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Reactive Human-to-Robot Handovers of Arbitrary Objects.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Sim-to-Real for Robotic Tactile Sensing via Physics-Based Simulation and Learned Latent Projections.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

ACRONYM: A Large-Scale Grasp Dataset Based on Simulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Object Rearrangement Using Learned Implicit Collision Functions.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

RGB-D Local Implicit Function for Depth Completion of Transparent Objects.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Sim-to-Real Task Planning and Execution from Perception via Reactivity and Recovery.
CoRR, 2020

Interpreting and Predicting Tactile Signals via a Physics-Based and Data-Driven Framework.
Proceedings of the Robotics: Science and Systems XVI, 2020

6-DOF Grasping for Target-driven Object Manipulation in Clutter.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Self-supervised 6D Object Pose Estimation for Robot Manipulation.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking.
CoRR, 2019

PoseRBPF: A Rao-Blackwellized Particle Filter for6D Object Pose Estimation.
Proceedings of the Robotics: Science and Systems XV, 2019

A Billion Ways to Grasp: An Evaluation of Grasp Sampling Schemes on a Dense, Physics-Based Grasp Data Set.
Proceedings of the Robotics Research, 2019

Visual Representations for Semantic Target Driven Navigation.
Proceedings of the International Conference on Robotics and Automation, 2019

6-DOF GraspNet: Variational Grasp Generation for Object Manipulation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018
Visual Representations for Semantic Target Driven Navigation.
CoRR, 2018

2017
Synthesizing Training Data for Object Detection in Indoor Scenes.
Proceedings of the Robotics: Science and Systems XIII, 2017

3D Bounding Box Estimation Using Deep Learning and Geometry.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Semantic Image Based Geolocation Given a Map.
CoRR, 2016

Joint Semantic Segmentation and Depth Estimation with Deep Convolutional Networks.
Proceedings of the Fourth International Conference on 3D Vision, 2016

Multiview RGB-D Dataset for Object Instance Detection.
Proceedings of the Fourth International Conference on 3D Vision, 2016

2015
Deep Convolutional Features for Image Based Retrieval and Scene Categorization.
CoRR, 2015

Semantically guided location recognition for outdoors scenes.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015


  Loading...