Sandeep Chinchali
Assistant Professor
Leads the Swarm Lab, working on distributed robot learning, networked control and data-driven optimization for robotic fleets.
Sandeep Chinchali's lab at UT Austin works on planning, control & multi-robot systems, manipulation & robot learning and learning theory & optimization. 26 papers since 2023, 17 at top venues, mostly CoRL and Interspeech. 6 alumni. Applications close .
At a glance
- papers, 2023–2026
- 7/ year
- at T1 venues
- 65%
- PhD students
- 0
- MS students
- 0
- alumni listed
- 6
Papers by yearfrom the lab homepage, 2023–2026
- 4 papers2026 · T1 2 · collecting
- 9 papers2025 · T1 6
- 8 papers2024 · T1 6
- 5 papers2023 · T1 3
T1 venuesOtherVenues: CoRL, Interspeech, NeurIPS, ACC, ICLR
Research focuspaper titles that use each topic's words
- Planning, control & multi-robot systems5 papers
- Manipulation & robot learning5 papers
- Learning theory & optimization4 papers
- networked control1 paper
- swarm0 papers
Paper list
From the lab homepage.
20264 papers
- LoGAttentionViG: Cross-Attention-Based Dynamic Neighbor Aggregation in Vision GNNs
- AAAI (T1)NeuS-QA: Grounding Long-Form Video Understanding in Temporal Logic and Neuro-Symbolic Reasoning
- NeurIPS (T1)TensorCommitments: A Lightweight Verifiable Inference for Language Models
- The International Conference on Autonomous Agents and Multi-Agent SystemsUNCAP: Uncertainty-Guided Planning Using Natural Language Communication for Cooperative Autonomous Vehicles
20259 papers
- International Conference on Neuro-symbolic SystemsA Challenge to Build Neuro-Symbolic Video Agents
- ICLR (T1)CSA: Data-Efficient Mapping of Unimodal Features to Multimodal Features
- CoRL (T1)Distributed Upload and Active Labeling for Resource-Constrained Fleet Learning
- ICLR (T1)Exploiting Distribution Constraints for Scalable and Efficient Image Retrieval
- GLOBECOMFairSynergy: Fair Resource Allocation for Fleet Intelligence
- Proceedings of the Computer Vision and Pattern Recognition ConferenceNeuro-Symbolic Evaluation of Text-to-Video Models Using Formal Verification
- Interspeech (T1)PhonemeFake: Redefining Deepfake Realism with Language-Driven Segmental Manipulation and Adaptive Bilevel Detection
- NeurIPS (T1)VIBE: Annotation-Free Video-to-Text Information Bottleneck Evaluation for TL;DR
- Interspeech (T1)WavShape: Information-Theoretic Speech Representation Learning for Fair and Privacy-Aware Audio Processing
20248 papers
- CoRL (T1)Accelerating Visual Sparse-Reward Learning with Latent Nearest-Demonstration-Guided Explorations
- IEEE International Conference on BlockchainControlPay: An Adaptive Payment Controller for Blockchain Economies
- CoRL (T1)Fleet Supervisor Allocation: A Submodular Maximization Approach
- IROS (T1)PEERNet: An End-to-End Profiling Tool for Real-Time Networked Robotic Systems
- RA-LSafe Networked Robotics With Probabilistic Verification
- Interspeech (T1)SecureSpectra: Safeguarding Digital Identity from Deep Fake Threats via Intelligent Signatures
- ICML (T1)Time Weaver: A Conditional Time Series Generation Model
- ECCV (T1)Towards Neuro-Symbolic Video Understanding
20235 papers
- ACCDifferentially Private Timeseries Forecasts for Networked Control
- CoRL (T1)Fleet Active Learning: A Submodular Maximization Approach
- ACCPoisoning Attacks Against Data-Driven Predictive Control
- ICRA (T1)Robust Forecasting for Robotic Control: A Game-Theoretic Approach
- NeurIPS (T1)Task-Aware Distributed Source Coding under Dynamic Bandwidth
Where alumni went6 listed
Apply to UT AustinFall 2027
Computer Science PhD
- Round
- Single round (Dec 15)
- Opens
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
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