Abhinav Gupta
Professor
Studies robot learning and large-scale visual learning, including self-supervised and embodied learning.
Abhinav Gupta's lab at CMU works on manipulation & robot learning and generative & foundation models. 25 papers since 2023, 21 at top venues, mostly ICRA and ACL. 5 PhD students. 31 alumni, most often to Meta and Google DeepMind. Applications close .
At a glance
- papers, 2023–2026
- 7/ year
- at T1 venues
- 84%
- PhD students
- 5
- MS students
- 0
- alumni listed
- 31
Papers by yearfrom DBLP, 2023–2026
- 1 papers2026 · T1 1 · collecting
- 2 papers2025 · T1 1
- 10 papers2024 · T1 10
- 12 papers2023 · T1 9
T1 venuesOtherVenues: ICRA, ACL, CVPR, ECCV, ICCV
Research focuspaper titles that use each topic's words
- Manipulation & robot learning12 papers
- Generative & foundation models3 papers
- self-supervised1 paper
- large-scale visual0 papers
- studies robot0 papers
Paper list
From DBLP.
20261 paper
20252 papers
202410 papers
- RSS (T1)DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset (opens in a new tab)
- ICRA (T1)Exploitation-Guided Exploration for Semantic Embodied Navigation (opens in a new tab)
- CVPR (T1)G-HOP: Generative Hand-Object Prior for Interaction Reconstruction and Grasp Synthesis (opens in a new tab)
- ICRA (T1)Hearing Touch: Audio-Visual Pretraining for Contact-Rich Manipulation (opens in a new tab)
- ICML (T1)Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling (opens in a new tab)
- RSS (T1)HRP: Human affordances for Robotic Pre-training (opens in a new tab)
- ICRA (T1)RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking (opens in a new tab)
- ICRA (T1)Towards Generalizable Zero-Shot Manipulation via Translating Human Interaction Plans (opens in a new tab)
- ECCV (T1)Towards Latent Masked Image Modeling for Self-supervised Visual Representation Learning (opens in a new tab)
- ECCV (T1)Track2Act: Predicting Point Tracks from Internet Videos Enables Generalizable Robot Manipulation (opens in a new tab)
202312 papers
- CVPR (T1)Affordance Diffusion: Synthesizing Hand-Object Interactions (opens in a new tab)
- IEEE Robotics Autom. Lett.All the Feels: A Dexterous Hand With Large-Area Tactile Sensing (opens in a new tab)
- CoRL (T1)An Unbiased Look at Datasets for Visuo-Motor Pre-Training (opens in a new tab)
- ICCV (T1)Diffusion-Guided Reconstruction of Everyday Hand-Object Interaction Clips (opens in a new tab)
- RoboSoftDragonClaw: A low-cost pneumatic gripper with integrated magnetic sensing (opens in a new tab)
- CoLLAsEvaluating Continual Learning on a Home Robot (opens in a new tab)
- TPAMI (T1)Guest Editorial: Introduction to the Special Section on Graphs in Vision and Pattern Analysis (opens in a new tab)
- ICRA (T1)Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps (opens in a new tab)
- ICCV (T1)Manipulate by Seeing: Creating Manipulation Controllers from Pre-Trained Representations (opens in a new tab)
- ICRA (T1)Real World Offline Reinforcement Learning with Realistic Data Source (opens in a new tab)
- ICRA (T1)Train Offline, Test Online: A Real Robot Learning Benchmark (opens in a new tab)
- ICRA (T1)Visual Affordance Prediction for Guiding Robot Exploration (opens in a new tab)
Where alumni went31 listed, 43% to industry
Industry 12Academia 16
Most often to
- Meta
- Google DeepMind
- Amazon
Also to
- Carnegie Mellon University
- UIUC
- MIT
Apply to CMUFall 2027
CMU SCS Computer Science PhD
- Round
- Single round
- Opens
- GRE
- See program page
- English
- TOEFL / IELTS / Duolingo (F-1/J-1 non-native speakers)
- Fee
- USD 100 (USD 80 by early deadline)
Confirmed on the program page.
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