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An automated multi-objective optimization approach for aerodynamic 3D compressor blade design
Dynamic spatio-temporal graph neural networks for hot topic prediction in scientific literature
Energy-time optimal path planning in strong dynamic flows
Neuro-evolution search methodologies for collective self-driving vehicles
Development of autonomous driving using ROS
Dense visual learning for robot manipulation
Interactively designing robots in mixed reality using gestural control
Multi-modal motion planning using composite pose graph optimization
Elektromobilität und erneuerbare Energien : lokal optimierter Einsatz von netzgekoppelten Fahrzeugen
Certified Control in autonomous vehicles with visual lane finding and LiDAR
Balance control and locomotion planning for humanoid robots using nonlinear centroidal models
Algorithms for planning and executing multi-roboat shapeshifting
Augmenting physics simulators with neural networks for model learning and control
Spatial and reactive navigation for an autonomous vehicle in an unknown environment
Algorithms for safe robot navigation
Learning contact-aware robot controllers from mixed integer optimization
Selecting appropriate reinforcement-learning algorithms for robot manipulation domains
Risk-bounded coordination of human-robot teams through concurrent intent recognition and adaptation
Simultaneous Tracking, Object Registration, and Mapping (STORM) ; STORM
A high-deformation electric soft robotic gripper via handed shearing auxetics
Development of a simulation-based platform for autonomous vehicle algorithm validation
The ChainQueen differentiable physics engine
An autonomous forklift research platform for warehouse operations
Minimizing redundant communication in vehicle networks for city mapping
Localizing external contact using proprioceptive sensors : the contact particle filter
Centralized performance control for datacenter networks
Beating the world's best at Super Smash Bros. with deep reinforcement learning
Analytical and simulation models for flexible, robotic automotive assembly lines
Persistent autonomous exploration, mapping and localization
Detailed requirements document for the problem reporting data systems (PDS)
Jacobian-based control of soft robots for manipulation using implicit surface models
A cross-platform virtual reality experience
A Requirements analysis methodology for turboelectric aircraft
Optimization for control and planning of multi-contact dynamic motion
Humanizing autonomy : social scientists' and engineers' futures for robotic cars
Reconfigurable Autonomous Surface Vehicles : perception and trajectory optimization algorithms
Aggregation for modular robots in the pivoting cube model
Computational imaging with small numbers of photons
Robust multi-contact dynamical motion planning using contact wrench set
Software and control design for the MIT Cheetah quadruped robots
Motion planning with dynamic constraints through pose graph optimization