17 citations · 58 across the 34 of their papers we have counts for
32 papers · 1 filter
Learning from Demonstrations Meets Symbolic Control - A Supervisory Control Architecture for Formal Certification of Learned Motion
Ashok Kumar, Mahathi Anand, Angela P. Schoellig +2
Dynamical system (DS)-based learning from demonstration generates flexible robot motions, but existing guarantees rely on certificate generation to obtain formal guarantees of safe…
UWB Meets Crazyflow: Simulating Degraded Feedback at Scale for Aerial Robotics
Martin Schuck, Marcel P. Rath, Yufei Hua +3
In this work, we introduce Crazyflow, an accurate, differentiable simulator built on JAX. By leveraging jit compilation via XLA, Crazyflow unifies physics and control into a single…
ForceDelta-VLA: Distilling Force-Conditioned Action Corrections for Contact-Rich Manipulation
Ju Dong, Yu Fu, Jian Chen +9
Force-aware Vision-Language-Action (VLA) policies improve contact-rich manipulation, but typically combine task-level motion and contact-dependent adjustment in a single action pre…
Robotic Nonprehensile Object Transportation with a Hanging Tray
Adam Heins, Angela P. Schoellig
We consider the nonprehensile object transportation task known as the waiter's problem, in which a robot must move an object balanced on a tray from one location to another. In con…
Hierarchical Task Model Predictive Control for Sequential Mobile Manipulation Tasks
Xintong Du, Siqi Zhou, Angela P. Schoellig
Mobile manipulators are envisioned to serve more complex roles in people's everyday lives. With recent breakthroughs in large language models, task planners have become better at t…
Perceptive Hierarchical-Task MPC for Sequential Mobile Manipulation in Unstructured Semi-Static Environments
Xintong Du, Jingxing Qian, Siqi Zhou +1
As compared to typical mobile manipulation tasks, sequential mobile manipulation poses a unique challenge -- as the robot operates over extended periods, successful task completion…
Sensor Query Schedule and Sensor Noise Covariances for Accuracy-constrained Trajectory Estimation
Abhishek Goudar, Angela P. Schoellig
Trajectory estimation involves determining the trajectory of a mobile robot by combining prior knowledge about its dynamic model with noisy observations of its state obtained using…
Decentralized and Fully Onboard: Range-Aided Cooperative Localization and Navigation on Micro Aerial Vehicles
Abhishek Goudar, Angela P. Schoellig
Controlling a team of robots in a coordinated manner is challenging because centralized approaches (where all computation is performed on a central machine) scale poorly, and globa…
SQ-CBF: Signed Distance Functions for Reliable Superquadric-Based Safety Filtering
Haocheng Zhao, Lukas Brunke, Oliver Lagerquist +2
Ensuring safe robot operation in cluttered and dynamic environments remains a fundamental challenge. While control barrier functions (CBFs) provide an effective framework for real-…
SM2ITH: Safe Mobile Manipulation with Interactive Human Prediction via Task-Hierarchical Bilevel Model Predictive Control
Francesco D'Orazio, Sepehr Samavi, Xintong Du +3
Mobile manipulators are designed to perform complex sequences of navigation and manipulation tasks in human-centered environments. While recent optimization-based methods such as H…
Improving Drone Racing Performance Through Iterative Learning MPC
Haocheng Zhao, Niklas Schlüter, Lukas Brunke +1
Autonomous drone racing presents a challenging control problem, requiring real-time decision-making and robust handling of nonlinear system dynamics. While iterative learning model…
Where Did I Leave My Glasses? Open-Vocabulary Semantic Exploration in Real-World Semi-Static Environments
Benjamin Bogenberger, Oliver Harrison, Orrin Dahanaggamaarachchi +4
Robots deployed in real-world environments, such as homes, must not only navigate safely but also understand their surroundings and adapt to changes in the environment. To perform…
Deploying SICNav in the Field: Safe and Interactive Crowd Navigation using MPC and Bilevel Optimization
Sepehr Samavi, Garvish Bhutani, Florian Shkurti +1
Safe and efficient navigation in crowded environments remains a critical challenge for robots that provide a variety of service tasks such as food delivery or autonomous wheelchair…
SICNav-Diffusion: Safe and Interactive Crowd Navigation with Diffusion Trajectory Predictions
Sepehr Samavi, Anthony Lem, Fumiaki Sato +5
To navigate crowds without collisions, robots must interact with humans by forecasting their future motion and reacting accordingly. While learning-based prediction models have sho…
ProDapt: Proprioceptive Adaptation using Long-term Memory Diffusion
Federico Pizarro Bejarano, Bryson Jones, Daniel Pastor Moreno +3
Diffusion models have revolutionized imitation learning, allowing robots to replicate complex behaviours. However, diffusion often relies on cameras and other exteroceptive sensors…
Ultra-wideband Time Difference of Arrival Indoor Localization: From Sensor Placement to System Evaluation
Wenda Zhao, Abhishek Goudar, Mingliang Tang +1
Wireless indoor localization has attracted significant research interest due to its high accuracy, low cost, lightweight design, and low power consumption. Specifically, ultra-wide…
SwarmGPT: Combining Large Language Models with Safe Motion Planning for Drone Swarm Choreography
Martin Schuck, Dinushka Orrin Dahanaggamaarachchi, Ben Sprenger +3
Drone swarm performances -- synchronized, expressive aerial displays set to music -- have emerged as a captivating application of modern robotics. Yet designing smooth, safe choreo…
Safety Filtering While Training: Improving the Performance and Sample Efficiency of Reinforcement Learning Agents
Federico Pizarro Bejarano, Lukas Brunke, Angela P. Schoellig
Reinforcement learning (RL) controllers are flexible and performant but rarely guarantee safety. Safety filters impart hard safety guarantees to RL controllers while maintaining fl…
Robust Nonprehensile Object Transportation with Uncertain Inertial Parameters
Adam Heins, Angela P. Schoellig
We consider the nonprehensile object transportation task known as the waiter's problem - in which a robot must move an object on a tray from one location to another - when the tran…
Flying through Moving Gates without Full State Estimation
Ralf Römer, Tim Emmert, Angela P. Schoellig
Autonomous drone racing requires powerful perception, planning, and control and has become a benchmark and test field for autonomous, agile flight. Existing work usually assumes st…
Semantically Safe Robot Manipulation: From Semantic Scene Understanding to Motion Safeguards
Lukas Brunke, Yanni Zhang, Ralf Römer +4
Ensuring safe interactions in human-centric environments requires robots to understand and adhere to constraints recognized by humans as "common sense" (e.g., "moving a cup of wate…
Time-Optimal Planning for Long-Range Quadrotor Flights: An Automatic Optimal Synthesis Approach
Chao Qin, Jingxiang Chen, Yifan Lin +3
Time-critical tasks such as drone racing typically cover large operation areas. However, it is difficult and computationally intensive for current time-optimal motion planners to a…
Closing the Perception-Action Loop for Semantically Safe Navigation in Semi-Static Environments
Jingxing Qian, Siqi Zhou, Nicholas Jianrui Ren +2
Autonomous robots navigating in changing environments demand adaptive navigation strategies for safe long-term operation. While many modern control paradigms offer theoretical guar…
Control-Barrier-Aided Teleoperation with Visual-Inertial SLAM for Safe MAV Navigation in Complex Environments
Siqi Zhou, Sotiris Papatheodorou, Stefan Leutenegger +1
In this paper, we consider a Micro Aerial Vehicle (MAV) system teleoperated by a non-expert and introduce a perceptive safety filter that leverages Control Barrier Functions (CBFs)…