Arsalan Mousavian

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 74

Top Topics

Visual Representations

Cluttered Environments

Top Venues

Robotics: Science and Systems

Publications

Wentao Yuan, Jiafei Duan, Valts Blukis, Wilbert Pumacay, Ranjay Krishna, Adithyavairavan Murali, Arsalan Mousavian, Dieter Fox
RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics. CoRR (2024)
Adithyavairavan Murali, Arsalan Mousavian, Clemens Eppner, Adam Fishman, Dieter Fox
CabiNet: Scaling Neural Collision Detection for Object Rearrangement with Procedural Scene Generation. ICRA (2023)
Rhys Newbury, Morris Gu, Lachlan Chumbley, Arsalan Mousavian, Clemens Eppner, Jürgen Leitner, Jeannette Bohg, Antonio Morales, Tamim Asfour, Danica Kragic, Dieter Fox, Akansel Cosgun
Deep Learning Approaches to Grasp Synthesis: A Review. IEEE Trans. Robotics 39 (5) (2023)
Ishika Singh, Valts Blukis, Arsalan Mousavian, Ankit Goyal, Danfei Xu, Jonathan Tremblay, Dieter Fox, Jesse Thomason, Animesh Garg
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models. ICRA (2023)
Adithyavairavan Murali, Arsalan Mousavian, Clemens Eppner, Adam Fishman, Dieter Fox
CabiNet: Scaling Neural Collision Detection for Object Rearrangement with Procedural Scene Generation. CoRR (2023)
Jens Lundell, Francesco Verdoja, Tran Nguyen Le, Arsalan Mousavian, Dieter Fox, Ville Kyrki
Constrained Generative Sampling of 6-DoF Grasps. CoRR (2023)
Wentao Yuan, Adithyavairavan Murali, Arsalan Mousavian, Dieter Fox
M2T2: Multi-Task Masked Transformer for Object-centric Pick and Place. CoRR (2023)
Jens Lundell, Francesco Verdoja, Tran Nguyen Le, Arsalan Mousavian, Dieter Fox, Ville Kyrki
Constrained Generative Sampling of 6-DoF Grasps. IROS (2023)
Ishika Singh, Valts Blukis, Arsalan Mousavian, Ankit Goyal, Danfei Xu, Jonathan Tremblay, Dieter Fox, Jesse Thomason, Animesh Garg
ProgPrompt: program generation for situated robot task planning using large language models. Auton. Robots 47 (8) (2023)
Wentao Yuan, Adithyavairavan Murali, Arsalan Mousavian, Dieter Fox
M2T2: Multi-Task Masked Transformer for Object-centric Pick and Place. CoRL (2023)
Ankit Goyal, Arsalan Mousavian, Chris Paxton, Yu-Wei Chao, Brian Okorn, Jia Deng, Dieter Fox
IFOR: Iterative Flow Minimization for Robotic Object Rearrangement. CVPR (2022)
Zoey Qiuyu Chen, Karl Van Wyk, Yu-Wei Chao, Wei Yang, Arsalan Mousavian, Abhishek Gupta, Dieter Fox
DexTransfer: Real World Multi-fingered Dexterous Grasping with Minimal Human Demonstrations. CoRR (2022)
Zoey Qiuyu Chen, Karl Van Wyk, Yu-Wei Chao, Wei Yang, Arsalan Mousavian, Abhishek Gupta, Dieter Fox
Learning Robust Real-World Dexterous Grasping Policies via Implicit Shape Augmentation. CoRL (2022)
Zoey Qiuyu Chen, Karl Van Wyk, Yu-Wei Chao, Wei Yang, Arsalan Mousavian, Abhishek Gupta, Dieter Fox
Learning Robust Real-World Dexterous Grasping Policies via Implicit Shape Augmentation. CoRR (2022)
Yann Labbé, Lucas Manuelli, Arsalan Mousavian, Stephen Tyree, Stan Birchfield, Jonathan Tremblay, Justin Carpentier, Mathieu Aubry, Dieter Fox, Josef Sivic
MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare. CoRR (2022)
Ankit Goyal, Arsalan Mousavian, Chris Paxton, Yu-Wei Chao, Brian Okorn, Jia Deng, Dieter Fox
IFOR: Iterative Flow Minimization for Robotic Object Rearrangement. CoRR (2022)
Yann Labbé, Lucas Manuelli, Arsalan Mousavian, Stephen Tyree, Stan Birchfield, Jonathan Tremblay, Justin Carpentier, Mathieu Aubry, Dieter Fox, Josef Sivic
MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare. CoRL (2022)
Ishika Singh, Valts Blukis, Arsalan Mousavian, Ankit Goyal, Danfei Xu, Jonathan Tremblay, Dieter Fox, Jesse Thomason, Animesh Garg
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models. CoRR (2022)
Rhys Newbury, Morris Gu, Lachlan Chumbley, Arsalan Mousavian, Clemens Eppner, Jürgen Leitner, Jeannette Bohg, Antonio Morales, Tamim Asfour, Danica Kragic, Dieter Fox, Akansel Cosgun
Deep Learning Approaches to Grasp Synthesis: A Review. CoRR (2022)
Christopher Xie, Arsalan Mousavian, Yu Xiang, Dieter Fox
RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks. CoRR (2021)
Yashraj S. Narang, Balakumar Sundaralingam, Karl Van Wyk, Arsalan Mousavian, Dieter Fox
Interpreting and Predicting Tactile Signals for the SynTouch BioTac. CoRR (2021)
Yashraj S. Narang, Balakumar Sundaralingam, Miles Macklin, Arsalan Mousavian, Dieter Fox
Sim-to-Real for Robotic Tactile Sensing via Physics-Based Simulation and Learned Latent Projections. CoRR (2021)
Christopher Xie, Yu Xiang, Arsalan Mousavian, Dieter Fox
Unseen Object Instance Segmentation for Robotic Environments. IEEE Trans. Robotics 37 (5) (2021)
Shohin Mukherjee, Chris Paxton, Arsalan Mousavian, Adam Fishman, Maxim Likhachev, Dieter Fox
Reactive Long Horizon Task Execution via Visual Skill and Precondition Models. IROS (2021)
Xinke Deng, Arsalan Mousavian, Yu Xiang, Fei Xia, Timothy Bretl, Dieter Fox
PoseRBPF: A Rao-Blackwellized Particle Filter for 6-D Object Pose Tracking. IEEE Trans. Robotics 37 (5) (2021)
Ahmed Hussain Qureshi, Arsalan Mousavian, Chris Paxton, Michael C. Yip, Dieter Fox
NeRP: Neural Rearrangement Planning for Unknown Objects. Robotics: Science and Systems (2021)
Michael Danielczuk, Arsalan Mousavian, Clemens Eppner, Dieter Fox
Object Rearrangement Using Learned Implicit Collision Functions. ICRA (2021)
Clemens Eppner, Arsalan Mousavian, Dieter Fox
ACRONYM: A Large-Scale Grasp Dataset Based on Simulation. ICRA (2021)
Lirui Wang, Yu Xiang, Wei Yang, Arsalan Mousavian, Dieter Fox
Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds. CoRL (2021)
Wei Yang, Chris Paxton, Arsalan Mousavian, Yu-Wei Chao, Maya Cakmak, Dieter Fox
Reactive Human-to-Robot Handovers of Arbitrary Objects. ICRA (2021)
Yashraj S. Narang, Balakumar Sundaralingam, Karl Van Wyk, Arsalan Mousavian, Dieter Fox
Interpreting and predicting tactile signals for the SynTouch BioTac. Int. J. Robotics Res. 40 (12-14) (2021)
Yashraj S. Narang, Balakumar Sundaralingam, Miles Macklin, Arsalan Mousavian, Dieter Fox
Sim-to-Real for Robotic Tactile Sensing via Physics-Based Simulation and Learned Latent Projections. ICRA (2021)
Martin Sundermeyer, Arsalan Mousavian, Rudolph Triebel, Dieter Fox
Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes. CoRR (2021)
Martin Sundermeyer, Arsalan Mousavian, Rudolph Triebel, Dieter Fox
Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes. ICRA (2021)
Mohak Bhardwaj, Balakumar Sundaralingam, Arsalan Mousavian, Nathan D. Ratliff, Dieter Fox, Fabio Ramos, Byron Boots
STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation. CoRL (2021)
Mohak Bhardwaj, Balakumar Sundaralingam, Arsalan Mousavian, Nathan D. Ratliff, Dieter Fox, Fabio Ramos, Byron Boots
Fast Joint Space Model-Predictive Control for Reactive Manipulation. CoRR (2021)
Luyang Zhu, Arsalan Mousavian, Yu Xiang, Hammad Mazhar, Jozef van Eenbergen, Shoubhik Debnath, Dieter Fox
RGB-D Local Implicit Function for Depth Completion of Transparent Objects. CoRR (2021)
Luyang Zhu, Arsalan Mousavian, Yu Xiang, Hammad Mazhar, Jozef van Eenbergen, Shoubhik Debnath, Dieter Fox
RGB-D Local Implicit Function for Depth Completion of Transparent Objects. CVPR (2021)
Chris Xie, Arsalan Mousavian, Yu Xiang, Dieter Fox
RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks. CoRL (2021)
Ahmed Hussain Qureshi, Arsalan Mousavian, Chris Paxton, Michael C. Yip, Dieter Fox
NeRP: Neural Rearrangement Planning for Unknown Objects. CoRR (2021)
Xinke Deng, Yu Xiang, Arsalan Mousavian, Clemens Eppner, Timothy Bretl, Dieter Fox
Self-supervised 6D Object Pose Estimation for Robot Manipulation. ICRA (2020)
Yashraj S. Narang, Karl Van Wyk, Arsalan Mousavian, Dieter Fox
Interpreting and Predicting Tactile Signals via a Physics-Based and Data-Driven Framework. CoRR (2020)
Shohin Mukherjee, Chris Paxton, Arsalan Mousavian, Adam Fishman, Maxim Likhachev, Dieter Fox
Sim-to-Real Task Planning and Execution from Perception via Reactivity and Recovery. CoRR (2020)
Wei Yang, Chris Paxton, Arsalan Mousavian, Yu-Wei Chao, Maya Cakmak, Dieter Fox
Reactive Human-to-Robot Handovers of Arbitrary Objects. CoRR (2020)
Yu Xiang, Christopher Xie, Arsalan Mousavian, Dieter Fox
Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation. CoRR (2020)
Yu Xiang, Christopher Xie, Arsalan Mousavian, Dieter Fox
Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation. CoRL (2020)
Michael Danielczuk, Arsalan Mousavian, Clemens Eppner, Dieter Fox
Object Rearrangement Using Learned Implicit Collision Functions. CoRR (2020)
Christopher Xie, Yu Xiang, Arsalan Mousavian, Dieter Fox
Unseen Object Instance Segmentation for Robotic Environments. CoRR (2020)
Yashraj S. Narang, Karl Van Wyk, Arsalan Mousavian, Dieter Fox
Interpreting and Predicting Tactile Signals via a Physics-Based and Data-Driven Framework. Robotics: Science and Systems (2020)
Keunhong Park, Arsalan Mousavian, Yu Xiang, Dieter Fox
LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation. CVPR (2020)
Adithyavairavan Murali, Arsalan Mousavian, Clemens Eppner, Chris Paxton, Dieter Fox
6-DOF Grasping for Target-driven Object Manipulation in Clutter. ICRA (2020)
Clemens Eppner, Arsalan Mousavian, Dieter Fox
ACRONYM: A Large-Scale Grasp Dataset Based on Simulation. CoRR (2020)
Arsalan Mousavian, Clemens Eppner, Dieter Fox
6-DOF GraspNet: Variational Grasp Generation for Object Manipulation. ICCV (2019)
Xinke Deng, Arsalan Mousavian, Yu Xiang, Fei Xia, Timothy Bretl, Dieter Fox
PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking. CoRR (2019)
Clemens Eppner, Arsalan Mousavian, Dieter Fox
A Billion Ways to Grasp: An Evaluation of Grasp Sampling Schemes on a Dense, Physics-based Grasp Data Set. CoRR (2019)
Arsalan Mousavian, Clemens Eppner, Dieter Fox
6-DOF GraspNet: Variational Grasp Generation for Object Manipulation. CoRR (2019)
Christopher Xie, Yu Xiang, Arsalan Mousavian, Dieter Fox
The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation. CoRR (2019)
Arsalan Mousavian, Alexander Toshev, Marek Fiser, Jana Kosecká, Ayzaan Wahid, James Davidson
Visual Representations for Semantic Target Driven Navigation. ICRA (2019)
Xinke Deng, Arsalan Mousavian, Yu Xiang, Fei Xia, Timothy Bretl, Dieter Fox
PoseRBPF: A Rao-Blackwellized Particle Filter for6D Object Pose Estimation. Robotics: Science and Systems (2019)
Xinke Deng, Yu Xiang, Arsalan Mousavian, Clemens Eppner, Timothy Bretl, Dieter Fox
Self-supervised 6D Object Pose Estimation for Robot Manipulation. CoRR (2019)
Clemens Eppner, Arsalan Mousavian, Dieter Fox
A Billion Ways to Grasp: An Evaluation of Grasp Sampling Schemes on a Dense, Physics-Based Grasp Data Set. ISRR (2019)
Adithyavairavan Murali, Arsalan Mousavian, Clemens Eppner, Chris Paxton, Dieter Fox
6-DOF Grasping for Target-driven Object Manipulation in Clutter. CoRR (2019)
Keunhong Park, Arsalan Mousavian, Yu Xiang, Dieter Fox
LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation. CoRR (2019)
Christopher Xie, Yu Xiang, Arsalan Mousavian, Dieter Fox
The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation. CoRL (2019)
Arsalan Mousavian, Alexander Toshev, Marek Fiser, Jana Kosecka, James Davidson
Visual Representations for Semantic Target Driven Navigation. CoRR (2018)
Arsalan Mousavian, Dragomir Anguelov, John Flynn, Jana Kosecka
3D Bounding Box Estimation Using Deep Learning and Geometry. CVPR (2017)
Georgios Georgakis, Arsalan Mousavian, Alexander C. Berg, Jana Kosecka
Synthesizing Training Data for Object Detection in Indoor Scenes. CoRR (2017)
Georgios Georgakis, Arsalan Mousavian, Alexander C. Berg, Jana Kosecka
Synthesizing Training Data for Object Detection in Indoor Scenes. Robotics: Science and Systems (2017)
Arsalan Mousavian, Hamed Pirsiavash, Jana Kosecka
Joint Semantic Segmentation and Depth Estimation with Deep Convolutional Networks. CoRR (2016)
Arsalan Mousavian, Hamed Pirsiavash, Jana Kosecka
Joint Semantic Segmentation and Depth Estimation with Deep Convolutional Networks. 3DV (2016)
Arsalan Mousavian, Dragomir Anguelov, John Flynn, Jana Kosecka
3D Bounding Box Estimation Using Deep Learning and Geometry. CoRR (2016)
Arsalan Mousavian, Jana Kosecka
Semantic Image Based Geolocation Given a Map. CoRR (2016)
Georgios Georgakis, Md. Alimoor Reza, Arsalan Mousavian, Phi-Hung Le, Jana Kosecka
Multiview RGB-D Dataset for Object Instance Detection. 3DV (2016)
Georgios Georgakis, Md. Alimoor Reza, Arsalan Mousavian, Phi-Hung Le, Jana Kosecka
Multiview RGB-D Dataset for Object Instance Detection. CoRR (2016)
Arsalan Mousavian, Jana Kosecka, Jyh-Ming Lien
Semantically guided location recognition for outdoors scenes. ICRA (2015)
Arsalan Mousavian, Jana Kosecka
Deep Convolutional Features for Image Based Retrieval and Scene Categorization. CoRR (2015)