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Proc. ASME. DSCC2016, Volume 2: Mechatronics; Mechatronics and Controls in Advanced Manufacturing; Modeling and Control of Automotive Systems and Combustion Engines; Modeling and Validation; Motion and Vibration Control Applications; Multi-Agent and Networked Systems; Path Planning and Motion Control; Robot Manipulators; Sensors and Actuators; Tracking Control Systems; Uncertain Systems and Robustness; Unmanned, Ground and Surface Robotics; Vehicle Dynamic Controls; Vehicle Dynamics and Traffic Control, V002T28A005, October 12–14, 2016

Paper No: DSCC2016-9910

DOI: https://doi.org/10.1115/DSCC2016-9910

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Topics: Safety, Robots, Uncertainty, Control equipment, Stress, Design, Robust control, Stability, Torque

Proceedings Papers

Determining Minimum and Maximum Number of Agents Required for Planar Cable-Suspended Aerial Manipulation

Henry Hung, Niteesh Sood, Koushil Sreenath

Paper No: DSCC2016-9834

DOI: https://doi.org/10.1115/DSCC2016-9834

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Topics: Cables, Stress, Trajectories (Physics), Multi-agent systems, Thrust, Transportation systems

Proceedings Papers

Safety-Critical Control of a 3D Quadrotor With Range-Limited Sensing

Guofan Wu, Koushil Sreenath

Proc. ASME. DSCC2016, Volume 1: Advances in Control Design Methods, Nonlinear and Optimal Control, Robotics, and Wind Energy Systems; Aerospace Applications; Assistive and Rehabilitation Robotics; Assistive Robotics; Battery and Oil and Gas Systems; Bioengineering Applications; Biomedical and Neural Systems Modeling, Diagnostics and Healthcare; Control and Monitoring of Vibratory Systems; Diagnostics and Detection; Energy Harvesting; Estimation and Identification; Fuel Cells/Energy Storage; Intelligent Transportation, V001T05A006, October 12–14, 2016

Paper No: DSCC2016-9913

DOI: https://doi.org/10.1115/DSCC2016-9913

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Topics: Safety, Flight, Collisions (Physics), Control algorithms, Design, Dynamics (Mechanics), Robotics

Proceedings Papers

Avian-Inspired Grasping for Quadrotor Micro UAVs

Justin Thomas, Joe Polin, Koushil Sreenath, Vijay Kumar

Proc. ASME. IDETC-CIE2013, Volume 6A: 37th Mechanisms and Robotics Conference, V06AT07A014, August 4–7, 2013

Paper No: DETC2013-13289

DOI: https://doi.org/10.1115/DETC2013-13289

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Topics: Grasping, Unmanned aerial vehicles, Design, Dynamic models, Stress, Transportation systems, Water

Journal citation

NARROW

Geometric L 1 Adaptive Attitude Control for a Quadrotor Unmanned Aerial Vehicle

Controlling the Locomotion of Spherical Robots or Why BB-8 Works

Optimal Robust Time-Varying Safety-Critical Control With Application to Dynamic Walking on Moving Stepping Stones

Determining Minimum and Maximum Number of Agents Required for Planar Cable-Suspended Aerial Manipulation

Safety-Critical Control of a 3D Quadrotor With Range-Limited Sensing

Avian-Inspired Grasping for Quadrotor Micro UAVs

Journals

Conference Proceedings

eBooks

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Opportunities

Geometric L 1 Adaptive Attitude Control for a Quadrotor Unmanned Aerial Vehicle

Controlling the Locomotion of Spherical Robots or Why BB-8 Works

Optimal Robust Time-Varying Safety-Critical Control With Application to Dynamic Walking on Moving Stepping Stones

Determining Minimum and Maximum Number of Agents Required for Planar Cable-Suspended Aerial Manipulation

Safety-Critical Control of a 3D Quadrotor With Range-Limited Sensing

Avian-Inspired Grasping for Quadrotor Micro UAVs

Journals

Conference Proceedings

eBooks

Resources

Opportunities

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