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Interpreting and Predicting Tactile Signals for the SynTouch BioTac


Jan 14, 2021
Yashraj S. Narang, Balakumar Sundaralingam, Karl Van Wyk, Arsalan Mousavian, Dieter Fox

* Submitted to International Journal of Robotics Research (IJRR) 

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Object Rearrangement Using Learned Implicit Collision Functions


Nov 21, 2020
Michael Danielczuk, Arsalan Mousavian, Clemens Eppner, Dieter Fox

* Michael Danielczuk and Arsalan Mousavian contributed equally 

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ACRONYM: A Large-Scale Grasp Dataset Based on Simulation


Nov 18, 2020
Clemens Eppner, Arsalan Mousavian, Dieter Fox


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Reactive Human-to-Robot Handovers of Arbitrary Objects


Nov 17, 2020
Wei Yang, Chris Paxton, Arsalan Mousavian, Yu-Wei Chao, Maya Cakmak, Dieter Fox


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Sim-to-Real Task Planning and Execution from Perception via Reactivity and Recovery


Nov 17, 2020
Shohin Mukherjee, Chris Paxton, Arsalan Mousavian, Adam Fishman, Maxim Likhachev, Dieter Fox

* Under review 

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Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation


Jul 30, 2020
Yu Xiang, Christopher Xie, Arsalan Mousavian, Dieter Fox


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Unseen Object Instance Segmentation for Robotic Environments


Jul 16, 2020
Christopher Xie, Yu Xiang, Arsalan Mousavian, Dieter Fox

* Extended version of arXiv:1907.13236 

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Interpreting and Predicting Tactile Signals via a Physics-Based and Data-Driven Framework


Jun 06, 2020
Yashraj S. Narang, Karl Van Wyk, Arsalan Mousavian, Dieter Fox

* To be published in Proc. Robotics: Science and Systems (RSS) 

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LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation


Dec 13, 2019
Keunhong Park, Arsalan Mousavian, Yu Xiang, Dieter Fox

* Project Page: https://keunhong.com/publications/latentfusion/ Video: https://youtu.be/T6qSMYmlCj4 

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A Billion Ways to Grasp: An Evaluation of Grasp Sampling Schemes on a Dense, Physics-based Grasp Data Set


Dec 11, 2019
Clemens Eppner, Arsalan Mousavian, Dieter Fox

* For associated web page, see https://sites.google.com/view/abillionwaystograsp . 19th International Symposium of Robotics Research (ISRR) 

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6-DOF Grasping for Target-driven Object Manipulation in Clutter


Dec 08, 2019
Adithyavairavan Murali, Arsalan Mousavian, Clemens Eppner, Chris Paxton, Dieter Fox


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Self-supervised 6D Object Pose Estimation for Robot Manipulation


Sep 23, 2019
Xinke Deng, Yu Xiang, Arsalan Mousavian, Clemens Eppner, Timothy Bretl, Dieter Fox


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The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation


Jul 30, 2019
Christopher Xie, Yu Xiang, Arsalan Mousavian, Dieter Fox


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6-DOF GraspNet: Variational Grasp Generation for Object Manipulation


May 25, 2019
Arsalan Mousavian, Clemens Eppner, Dieter Fox


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PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking


May 22, 2019
Xinke Deng, Arsalan Mousavian, Yu Xiang, Fei Xia, Timothy Bretl, Dieter Fox

* Accepted to RSS 2019 

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Visual Representations for Semantic Target Driven Navigation


May 15, 2018
Arsalan Mousavian, Alexander Toshev, Marek Fiser, Jana Kosecka, James Davidson


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Synthesizing Training Data for Object Detection in Indoor Scenes


Sep 08, 2017
Georgios Georgakis, Arsalan Mousavian, Alexander C. Berg, Jana Kosecka

* Added more experiments and link to project webpage 

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3D Bounding Box Estimation Using Deep Learning and Geometry


Apr 10, 2017
Arsalan Mousavian, Dragomir Anguelov, John Flynn, Jana Kosecka

* To appear in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 

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Multiview RGB-D Dataset for Object Instance Detection


Sep 26, 2016
Georgios Georgakis, Md Alimoor Reza, Arsalan Mousavian, Phi-Hung Le, Jana Kosecka


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Joint Semantic Segmentation and Depth Estimation with Deep Convolutional Networks


Sep 19, 2016
Arsalan Mousavian, Hamed Pirsiavash, Jana Kosecka


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Semantic Image Based Geolocation Given a Map


Sep 01, 2016
Arsalan Mousavian, Jana Kosecka


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Deep Convolutional Features for Image Based Retrieval and Scene Categorization


Sep 20, 2015
Arsalan Mousavian, Jana Kosecka


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