Andrea Bajcsy
Assistant Professor
Studies safe human-robot interaction, combining control theory and machine learning for robots that learn from people.
Andrea Bajcsy's lab at CMU works on manipulation & robot learning and human-robot interaction & assistive robots. 36 papers since 2023, 29 at top venues, mostly CoRL and ICRA. 5 PhD students and 6 master's students. 6 alumni, most often to NVIDIA and Stealth Startup. Applications close .
At a glance
- papers, 2023–2026
- 9/ year
- at T1 venues
- 81%
- PhD students
- 5
- MS students
- 6
- alumni listed
- 6
Papers by yearfrom the lab homepage, 2023–2026
- 13 papers2026 · T1 11 · collecting
- 10 papers2025 · T1 9
- 10 papers2024 · T1 6
- 3 papers2023 · T1 3
T1 venuesOtherVenues: CoRL, ICRA, RSS, ICLR, RA-L
Research focuspaper titles that use each topic's words
- Human-robot interaction & assistive robots12 papers
- Manipulation & robot learning11 papers
- learn2 papers
- control theory0 papers
- human-robot interaction0 papers
Paper list
From the lab homepage.
202613 papers
- IJRR (T1)A Unified Framework for Robots that Influence Humans over Long-Term Interaction (opens in a new tab)
- ICRA (T1)AnySafe: Adapting Latent Safety Filters at Runtime via Safety Constraint Parameterization in the Latent Space (opens in a new tab)
- ICRA (T1)Do What You Say: Steering Vision-Language-Action Models via Runtime Reasoning-Action Alignment Verification (opens in a new tab)
- CoRL (T1)ELASTIC: Efficiently Learning to Adaptively Scale Test-Time Compute for Generative Control Policies (opens in a new tab)
- IASEAIFrom Refusal to Recovery: A Control-Theoretic Approach to Generative AI Guardrails (opens in a new tab)
- ICML (T1)Good Embodied Reward Models Need Bad Behavior Data (opens in a new tab)
- L4DCHow to Train Your Latent Control Barrier Function: Smooth Safety Filtering Under Hard-to-Model Constraints (opens in a new tab)
- CoRL (T1)How Well Do Latent World Models Understand Partially Observable Safety Constraints? (opens in a new tab)
- CoRL (T1)Inference-time Policy Steering via Vision and Touch (opens in a new tab)
- CoRL (T1)Learning What to Say to Your VLA: Mostly Harmless Vision Language Action Model Steering (opens in a new tab)
- ICRA (T1)Reimagination with Test-time Observation Interventions: Distractor-Robust World Model Predictions for Visual Model Predictive Control (opens in a new tab)
- CoRL (T1)StressDream: Steering Video World Models for Robust Policy Evaluation and Improvement (opens in a new tab)
202510 papers
- CoRL (T1)Adapting by Analogy: OOD Generalization of Visuomotor Policies via Functional Correspondence (opens in a new tab)
- ICLR (T1)Agent-to-Sim: Learning Interactive Behavior Models from Casual Longitudinal Videos (opens in a new tab)
- ICLR (T1)Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback (opens in a new tab)
- RSS (T1)From Foresight to Forethought: VLM-In-the-Loop Policy Steering via Latent Alignment (opens in a new tab)
- RSS (T1)Generalizing Safety Beyond Collision-Avoidance via Latent-Space Reachability Analysis (opens in a new tab)
- ICRA (T1)Robots that Learn to Safely Influence via Prediction-Informed Reach-Avoid Dynamic Games (opens in a new tab)
- IROS (T1)Robots that Suggest Safe Alternatives (opens in a new tab)
- CoRL (T1)UNISafe: Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures (opens in a new tab)
- ICRA (T1)Updating Robot Safety Representations Online from Natural Language Feedback (opens in a new tab)
- RLCYour Learned Constraint is Secretly a Backward Reachable Tube (opens in a new tab)
202410 papers
- ECCV (T1)Adaptive Human Trajectory Prediction via Latent Corridors (opens in a new tab)
- SIGBOVIKAn Optimal Control Approach to Graphic Design (opens in a new tab)
- ICRA (T1)Conformal Decision Theory: Safe Autonomous Decisions without Distributions (opens in a new tab)
- RSS (T1)Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions (opens in a new tab)
- RA-LContingency Games for Multi-Agent Interaction (opens in a new tab)
- TCSTIntent Demonstration in General-Sum Dynamic Games via Iterative Linear-Quadratic Approximations (opens in a new tab)
- ICRA (T1)Learning Vision-Based Pursuit-Evasion Robot Policies (opens in a new tab)
- CoRL (T1)Not All Errors Are Made Equal: A Regret Metric for Detecting System-level Trajectory Prediction Failures (opens in a new tab)
- RA-LStROL: Stabilized and Robust Online Learning from Humans (opens in a new tab)
- ICLR (T1)What Matters to You? Towards Visual Representation Alignment for Robot Learning (opens in a new tab)
20233 papers
Where alumni went6 listed, 67% to industry
Industry 4Academia 2
Most often to
- NVIDIA
- Stealth Startup
Also to
- Carnegie Mellon University
- University of Washington
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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