Changliu Liu
Associate Professor
Studies safe and efficient robot control and human-robot collaboration, including verification of neural networks.
Changliu Liu's lab at CMU works on human-robot interaction & assistive robots, planning, control & multi-robot systems and efficient training & inference. 102 papers since 2023, 43 at top venues, mostly ICRA and ACC. 3 PhD students and 12 master's students. 34 alumni. Applications close .
At a glance
- papers, 2023–2026
- 27/ year
- at T1 venues
- 42%
- PhD students
- 3
- MS students
- 12
- alumni listed
- 34
Papers by yearfrom the lab homepage, 2023–2026
- 17 papers2026 · T1 9 · collecting
- 35 papers2025 · T1 13
- 28 papers2024 · T1 15
- 22 papers2023 · T1 6
T1 venuesOtherVenues: ICRA, ACC, CoRL, RA-L, RSS
Research focuspaper titles that use each topic's words
- Planning, control & multi-robot systems41 papers
- Human-robot interaction & assistive robots29 papers
- Efficient training & inference6 papers
- human-robot collaboration1 paper
- robot control0 papers
Paper list
From the lab homepage.
202617 papers
- IEEE/IFIP International Conference on Dependable Systems and NetworksA Robustness Metric and Evaluation Approach for Machine Learning Components in Aviation
- ICRA WorkshopAutonomous Integration and Improvement of Robotic Assembly using Skill Graph Representations
- RSS (T1)Emergent Neural Automaton Policies: Learning Symbolic Structure from Visuomotor Trajectories
- International Conference on Neuro-Symbolic SystemsFrom Decoupled to Coupled: Robustness Verification for Learning-based Keypoint Detection with Joint Specifications
- IASEAIFrom Refusal to Recovery: A Control-Theoretic Approach to Generative AI Guardrails
- CoRL (T1)Inference-Time Robot Behavior Steering through Physically-Aware Reconfiguration of Task-Structure
- IROS (T1)Learning Safe-Stoppability Monitors for Humanoid Robots
- IROS (T1)Motion Planning with Model-Based Diffusion via Constraint Optimization and Adaptive Scheduling
- IEEE Robotics and Automation MagazinePrompt-to-Product: Generative Assembly via Bimanual Manipulation
- IROS WorkshopRoboFin3D: A Sim-to-Real Platform for Robotic Surface Finishing
- ICML (T1)SafeDec: Constrained Decoding for Safe Autoregressive Generalist Robot Policies
- TMLR (T1)Steering Dialogue Dynamics for Robustness against Multi-turn Jailbreaking Attacks
202535 papers
- RSS (T1)APEX-MR: Multi-Robot Asynchronous Planning and Execution for Cooperative Assembly
- RSS (T1)ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills
- Modeling, Estimation, and Control ConferenceAssemblyComplete: 3D Combinatorial Construction with Deep Reinforcement Learning
- ACCAutomating Robot Failure Recovery Using Vision-Language Models With Optimized Prompts
- ICRA WorkshopCalibrating AI Trust in Complementary Human-AI Collaboration
- ACM Transactions on Cyber-Physical SystemsCertifying Robustness of Learning-Based Keypoint Detection and Pose Estimation Methods
- Learning for Dynamics and Control ConferenceContinual Learning and Lifting of Koopman Dynamics for Linear Control of Legged Robots
- RSS (T1)Demonstrating ViSafe: Vision-enabled Safety for High-speed Detect and Avoid
- TMLR (T1)Enhancing Sample Generation of Diffusion Models using Noise Level Correction
- IROS (T1)Eye-in-Finger: Smart Fingers for Delicate Assembly and Disassembly of LEGO
- ICCV (T1)Generating Physically Stable and Buildable Brick Structures from Text
- RSS (T1)Hierarchical Temporal Logic Task and Motion Planning for Multi-Robot Systems
202428 papers
- International Symposium of Flexible AutomationA Lightweight and Transferable Design for Robust LEGO Manipulation
- ICML (T1)Absolute Policy Optimization: Enhancing Lower Probability Bound of Performance with High Confidence
- RSS (T1)Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion
- ACCAn Optimal Control Framework for Influencing Human Driving Behavior in Mixed-Autonomy Traffic
- RA-LDecomposition-based Hierarchical Task Allocation and Planning for Multi-Robots under Hierarchical Temporal Logic Specifications
- RA-LEfficient Reinforcement Learning of Task Planners for Robotic Palletization Through Iterative Action Masking Learning
- CoRL WorkshopEstimating Neural Network Robustness via Lipschitz Constant and Architecture Sensitivity
- TMLR (T1)Guard: A safe reinforcement learning benchmark
- ACCHybrid Task Constrained Incremental Planner for Robot Manipulators in Confined Environments
- TMLR (T1)Improve Certified Training with Signal-to-Noise Ratio Loss to Decrease Neuron Variance and Increase Neuron Stability
- CoRL (T1)KOROL: Learning Visualizable Object Feature with Koopman Operator Rollout for Manipulation
- TNNLS (T1)Learn Zero-Constraint-Violation Safe Policy in Model-Free Constrained Reinforcement Learning
202322 papers
- Robotics and Computer-Integrated ManufacturingA hierarchical long short term safety framework for efficient robot manipulation under uncertainty
- TMLR (T1)An Optical Control Environment for Benchmarking Reinforcement Learning Algorithms
- AAAI (T1)Autocost: Evolving intrinsic cost for zero-violation reinforcement learning
- T-RO (T1)Bioslam: A bioinspired lifelong memory system for general place recognition
- MLSys (T1)Building Verified Neural Networks for Computer Systems with Ouroboros
- IEEE Intelligent Vehicles SymposiumConsensus-Based Fault-Tolerant Platooning for Connected and Autonomous Vehicles
- ASME Letters in Dynamic Systems and ControlCustomizing Textile and Tactile Skins for Interactive Industrial Robots
- Machine Learning and Optimization Techniques for Automotive Cyber-Physical SystemsDistributed Coordination and Centralized Scheduling for Automobiles at Intersections
- International Journal on Software Tools for Technology TransferFirst three years of the international verification of neural networks competition (VNN-COMP)
- IEEE International Conference on Intelligent Transportation SystemsInteractive Car-Following: Matters but NOT Always
- ICRA (T1)Learning from physical human feedback: An object-centric one-shot adaptation method
- LEAPObtaining hierarchy from human instructions: an llms-based approach
Where alumni went34 listed, 0% to industry
Industry 0Academia 8
Also to
- Carnegie Mellon University
- MIT
- North Carolina State University
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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