Martin Buss
Professor
Researches control of hybrid and nonlinear dynamic systems for robotics, telepresence and human-robot interaction.
Martin Buss's lab at TUM works on human-robot interaction & assistive robots, planning, control & multi-robot systems and VR, AR & immersive media. 49 papers since 2023, 6 at top venues, mostly T-RO and TAC. 145 alumni.
At a glance
- papers, 2023–2026
- 13/ year
- at T1 venues
- 12%
- PhD students
- 0
- MS students
- 0
- alumni listed
- 145
Papers by yearfrom the lab homepage, 2023–2026
- 5 papers2026 · T1 1 · collecting
- 9 papers2025 · T1 2
- 18 papers2024 · T1 3
- 17 papers2023 · T1 0
T1 venuesOtherVenues: T-RO, TAC, ICML, IFAC
Research focuspaper titles that use each topic's words
- Planning, control & multi-robot systems31 papers
- Human-robot interaction & assistive robots4 papers
- VR, AR & immersive media0 papers
- nonlinear0 papers
- hybrid0 papers
Paper list
From the lab homepage.
20265 papers
- IEEE Transactions on Emerging Topics in Computational Intelligence 10 (3), , 2610-2623A Deep Learning Approach for Gain-Scheduled PID Control Design via Advanced Supervisory Controllers
- IFACAn Adaptive Control Architecture for Slope and Terrain Compensation in Autonomous Navigation in Mediterranean Greenhouses
- Engineering Applications of Artificial Intelligence 181, , 115217Decision Transformer-based Tuning for Model Predictive Control
- ICML (T1)On Uniform Error Bounds for Kernel Regression under Non-Gaussian Noise
- IFAC Journal of Systems and Control 35, , 100399Stochastic data-driven predictive control of linear systems with sub-Gaussian disturbances using causal predictors
20259 papers
- International Conference on Control and Fault-Tolerant Systems (SysTol), IEEEActive Fault Identification and Robust Control for Unknown Bounded Faults via Volume-Based Costs
- at - Automatisierungstechnik 73 (6), , 451-465Learning-based Model Identification for Greenhouse Climate Control
- IEEE/SICE International Symposium on System Integration (SII)Material-Driven Mechanical Programming of Soft Robotic Tentacles
- Mechatronics 110 (103364)Practical and Robust Incremental Model Predictive Control for Flexible-Joint Robots
- TAC (T1)Sampling-Based Stochastic Data-Driven Predictive Control Under Data Uncertainty
- IEEE AccessTime-Optimal Model Predictive Control for Linear Time-Variant Systems Based on Configuration-Constrained Backward Reachability
- European Control Conference (ECC), IEEETowards Safe Bayesian Optimization with Wiener Kernel Regression
- T-RO (T1)Traffic-Rule-Compliant Trajectory Repair via Satisfiability Modulo Theories and Reachability Analysis
- Jornadas de Automática (46)Transfer Learning for Time-series Forecasting of Greenhouse Microclimate
202418 papers
- mediaTUMActive Exploration in Iterative Gaussian Process Regression for Uncertainty Modeling in Autonomous Racing
- IEEE Transactions on Automatic Control 69 (4), , 2445-2452Adaptive Observer for a Class of Systems With Switched Unknown Parameters Using DREM
- mediaTUMAdaptive Stochastic Predictive Control from Noisy Data: A Sampling-based Approach
- mediaTUMCombining Belief Function Theory and Stochastic Model Predictive Control for Multi-Modal Uncertainty in Autonomous Driving
- IEEE/ASME Transactions on Mechatronics, , 1-11Data-Driven Incremental Model Predictive Control for Robot Manipulators
- IEEE/ASME Transactions on MechatronicsData-Informed Residual Reinforcement Learning for High-Dimensional Robotic Tracking Control
- T-RO (T1)Enabling Versatility and Dexterity of the Dual-Arm Manipulators: A General Framework Toward Universal Cooperative Manipulation
- IEEE Conference on Industrial Electronics and Applications (ICIEA)Ensemble Probabilistic Model Predictive Safety Certification for Learning-Based Control
- Acoustics 6 (3), , 730-753Feasibility Analysis for Active Noise Cancellation Using the Electrical Power Steering Motor
- T-RO (T1)Hierarchical Incremental MPC for Redundant Robots: A Robust and Singularity-Free Approach
- mediaTUMHierarchical Model-Based Irrigation Control for Vertical Farms
- TAC (T1)Minimal Constraint Violation Probability in Model Predictive Control for Linear Systems
202317 papers
- IEEE Transactions on Circuits and Systems I: Regular Papers 70 (8), , 3305-3315A Persistent-Excitation-Free Method for System Disturbance Estimation Using Concurrent Learning
- mediaTUMAn Online Adaptation Strategy for Direct Data-driven Control
- International Conference on Control, Decision and Information Technologies (CoDIT), IEEE, , 730-735Analytical Safety Bounds for Trajectory Following Controllers in Autonomous Vehicles
- IEEE International Conference on Agrosystem Engineering, Technology & Applications (AGRETA), IEEEComparison of Dynamic Tomato Growth Models for Optimal Control in Greenhouses
- mediaTUMData-Driven Tube-Based Stochastic Predictive Control
- mediaTUMDistributed Stochastic Model Predictive Control for a Microscopic Interactive Traffic Model
- IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEEGrasping in Uncertain Environments: A Case Study For Industrial Robotic Recycling
- —Identifying Reaction-Aware Driving Styles of Stochastic Model Predictive Controlled Vehicles by Inverse Reinforcement Learning
- mediaTUMInformation Fusion for Online Estimation of the Behavior of Traffic Participants using Belief Function Theory
- mediaTUMNon-Conservative Trajectory Planning for Automated Vehicles by Estimating Intentions of Dynamic Obstacles
- IEEE Transactions on Systems, Man, and Cybernetics: Systems 53 (4), , 2478-2491Off-Policy Risk-Sensitive Reinforcement Learning-Based Constrained Robust Optimal Control
- mediaTUMOffline Uncertainty Sampling in Data-driven Stochastic MPC
Where alumni went145 listed
Apply to TUMRolling
Not announced yet
Computer Science Doctorate (CIT)
- Round
- Rolling (position-based)
- Opens
- —
- GRE
- See program page
- English
- Very good written and spoken English; no minimum test score
- Fee
- See program page
Confirmed on the program page.
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Tiers are venue classifications, not lab rankings.