Non-parametric Models for Long-term Autonomy
Monte-Carlo Policy-Tree Decision Making
Decentralized Multi-Policy Decision Making for Communication Constrained Multi-Robot Coordination (Preprint)
Evolving Policy Sets for Multi-Policy Decision Making (Preprint)
AXLE: Computationally-efficient trajectory smoothing using factor graph chains
The Masked Mapper: Masked Metric Mapping
Flexible Layouts for Fiducial Tags
Probabilistic Multi-Robot Search for an Adversarial Target
Adaptive Communication for Mobile Multi-Robot Systems
High Availability Mapping and Localization
Non-parametric Error Modeling for Ultra-wideband Localization Networks
Optimizing Multi-Robot Communication under Bandwidth Constraints
GLFP: Global Localization from a Floor Plan
MPDM: Multi-policy Decision-Making from Autonomous Driving to Social Robot Navigation
Multi-Policy Decision Making for Reliable Navigation in Dynamic Uncertain Environments
AprilSAM: Real-time Smoothing and Mapping
Backprop-MPDM: Faster risk-aware policy evaluation through efficient gradient optimization
HoverBots: Embracing and Detecting Collisions Using Robots Designed for Manufacturability
Multi-Functional Sensing for Swarm Robots Using Time Sequence Classification: HoverBot, an Example
Policy-Based Planning for Robust Robot Navigation
HoverBots: Precise Locomotion Using Robots That Are Designed for Manufacturability
Multipolicy decision-making for autonomous driving via changepoint-based behavior prediction: Theory and experiment
AprilFEC: Real-Time Channel Estimation and Adaptive Forward Error Correction
Fast discovery of influential outcomes for risk-aware MPDM
FLAG: Feature-based Localization between Air and Ground
FLAT2D: Fast Localization from Approximate Transformation into 2D
Autonomous Navigation in Dynamic Social Environments using Multi-Policy Decision Making
Learning Semantic Place Labels from Occupancy Grids using CNNs
AprilTag 2: Efficient and robust fiducial detection
Adaptive forward error correction with adjustable-latency QoS for robotic networks
Preliminary Observations from Robot-Enabled Surface Methane Concentration Monitoring at a MSW Landfill
Non-parametric Models of Distortion in Imaging Systems
The Federal Railroad Administration's Automated Grade Crossing Survey System
Maximum Likelihood Tracking of a Personal Dead-Reckoning System
TailoredBRIEF: Online Per-Feature Descriptor Customization
Augmented vehicle tracking under occlusions for decision-making in autonomous driving 
High-Performance Inertial Measurements Using a Redundant Array of Inexpensive Gyroscopes (RAIG)
Multipolicy Decision-Making for Autonomous Driving via Changepoint-based Behavior Prediction
M3RSM: Many-to-Many Multi-Resolution Scan Matching
MPDM: Multipolicy Decision-Making in Dynamic, Uncertain Environments for Autonomous Driving
Toward integrated motion planning and control using potential fields and torque-based steering actuation for autonomous driving 
FILTERING AND TRACKING FOR A PEDESTRIAN DEAD-RECKONING SYSTEM
Online mapping and perception algorithms for multi-robot teams operating in urban environments
Learning and Searching Methods for Robust, Real-Time Visual Odometry
Locally-weighted Homographies for Calibration of Imaging Systems
PAS: Visual Odometry with Perspective Alignment Search
Robust Pose Graph Optimization Using Stochastic Gradient Descent
AprilCal: Assisted and repeatable camera calibration
Predicting Object Functionality Using Physical Simulations
Robust Sensor Characterization via Max-Mixture Models: GPS Sensors
Inferring Categories to Accelerate the Learning of New Classes
Inference on networks of mixtures for robust robot mapping
Learning Convolutional Filters for Interest Point Detection
Exploration and Mapping with Autonomous Robot Teams
Multi-sensor ATTenuation Estimation (MATTE): Signal-strength prediction for teams of robots
Variable reordering strategies for SLAM
DART: A Particle-based Method for Generating Easy-to-Follow Directions
IPJC: The Incremental Posterior Joint Compatibility Test for Fast Feature Cloud Matching
Gaussian Process for Lens Distortion Modeling
Progress towards multi-robot reconnaissance and the MAGIC 2010 Competition
Inference on networks of mixtures for robust robot mapping
A Hands-Off, Multi-Robot Display for Communicating Situation Awareness to Operators
Robot Localization Using Overhead Camera and LEDs
Iterative Path Optimization for Practical Robot Planning
Occupancy Grid Rasterization in Large Environments for Teams of Robots
Positive and Negative Obstacle Detection using the HLD Classifier
AprilTag: A robust and flexible visual fiducial system
On computing the average orientation of vectors and lines
Structure Tensors for General Purpose LIDAR Feature Extraction
A General Purpose Feature Extractor for Light Detection and Ranging Data
Coordinating a Team of Robots for Urban Reconnaisance
A High-rate, Heterogeneous Data Set from the DARPA Urban Challenge
Graph-based Segmentation for Colored 3D Laser Point Clouds
Automated Safety Inspection of Grade Crossings
A Passive Solution to the Sensor Synchronization Problem
LCM: Lightweight Communications and Marshalling
Extracting general-purpose features from LIDAR data
AprilTag: A robust and flexible multi-purpose fiducial system
Recognizing Places using Spectrally Clustered Local Matches
Real-Time Correlative Scan Matching
Evaluating the Performance of Map Optimization Algorithms
Simultaneous Local and Global State Estimation for Robotic Navigation
Finding multiple lanes in urban road networks with vision and lidar
A Perception-Driven Autonomous Urban Vehicle
A Perception-Driven Autonomous Urban Vehicle
A Perception Driven Autonomous Urban Vehicle
Robust and Efficient Robotic Mapping
Multi-Sensor Lane Finding in Urban Road Networks
Implicit Data Association from Spectrally Clustered Local Matches
The MIT -- Cornell Collision and Why it Happened
Online Constraint Network Optimization for Efficient Maximum Likelihood Map Learning
Robust Dictionary Attack of Short Simple Substitution Ciphers
Spatially-Adaptive Learning Rates for Online Incremental SLAM
Robust Range-Only Beacon Localization
Fast Iterative Alignment of Pose Graphs with Poor Initial Estimates
Recognizing Places with Weak Evidence
Single Cluster Graph Partitioning for Robotics Applications
Incremental Optimization of Large Robot-Acquired Maps
Robust Range-Only Beacon Localization
Otto: A Low-Cost Robotics Platform for Research and Education
A Low-Cost, High-Performance Robotics Platform for Education and Research
The APRIL Robotics Laboratory at the University of Michigan investigates Autonomy, Perception, Robotics, Interfaces, and Learning, and is part of the Computer Science and Engineering department. It is led by Associate Professor Edwin Olson. Copyright (C) 2010.