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MEAM Doctoral Dissertation Defense: “High-Dimensional Design Evaluations for Self-Aligning Geometries”

Physical connectors with self-aligning geometry aid in the docking process for many robotic and automatic control systems such as robotic self-reconfiguration and air-to-air refueling. This self-aligning geometry provides a wider range of acceptable error tolerance in relative pose between the two rigid objects, increasing successful docking chances. In a broader context, mechanical alignment properties are […]

MEAM Seminar: “Robot Design Concepts for Intuitive Physical Human-robot Interaction”

Physical human-robot interaction (pHRI) aims at taking advantage of the complementary capabilities of robots and humans. One of the key challenges in pHRI is to provide a high-bandwidth human-robot interaction that is safe and intuitive for the human user. To this end, it is proposed in this work to revisit the design of robots in […]

MEAM Seminar: “Small, Autonomous, Flying Robots that can Feel and Map their Environment”

Autonomous flight through unknown environments in the presence of obstacles is a challenging problem for micro aerial vehicles (MAVs). A majority of the current state-of-art research focuses on modeling obstacles as opaque objects that can be easily sensed by optical sensors such as cameras or LiDARs. Since obstacles may not always be opaque, particularly in […]

MEAM Seminar: “Delivering Expressive and Personalized Fingertip Haptic Cues”

The importance of meaningful tactile experiences has become increasingly apparent in areas such as teleoperation, education, and gaming. As the applications of rendering haptic stimuli are growing, so are the requirements of haptic interfaces, in that the intended audience is becoming more diverse and the intended interactions are becoming more complicated. For the past few […]

MEAM Seminar: “From Elder Care Service Robots to the Design of Low-Cost End-Effectors and Novel Manipulation Techniques”

Older adults are forming a much larger percentage of the population leading to a strain in the healthcare sector. It is expected that the population aged 65 and over in the United States alone will double in the next 30 years, and similarly worldwide. Despite abundance of the facilities to accommodate the growing older adult […]

MEAM Seminar: “Microscale Robotic Wetware for Synthetic Biology”

Small-scale robotic systems have emerged as promising tools to perform a wide-range of tasks in microbiology and medicine such as targeted delivery, cell manipulation, environmental monitoring, and microassembly. In order to perform these tasks, the robot must execute precise locomotion, take measurements from its environment, and use those measurements to make decisions. However, unlike their […]

MEAM Seminar: “Machine Learning for Robotics: Achieving Safety, Performance and Reliability by Combining Models and Data in a Closed-Loop System Architecture”

The ultimate promise of robotics is to design devices that can physically interact with the world. To date, robots have been primarily deployed in highly structured and predictable environments. However, we envision the next generation of robots (ranging from self-driving and -flying vehicles to robot assistants) to operate in unpredictable and generally unknown environments alongside […]

ESE & GRASP Seminar: “Efficient Computing for AI and Robotics”

Computing near the sensor is preferred over the cloud due to privacy and/or latency concerns for a wide range of applications including robotics/drones, self-driving cars, smart Internet of Things, and portable/wearable electronics. However, at the sensor there are often stringent constraints on energy consumption and cost in addition to the throughput and accuracy requirements of […]

MEAM Seminar: “Fault-Tolerant Control on VTOL Aircraft”

High-speed rotorcraft such as coaxial compound helicopters have a significant degree of control redundancy that can be exploited to minimize power requirement, noise, and vibration, in various flight conditions. This lecture focuses on a new idea – how control redundancy can be leveraged to compensate for control actuation failure. Both adaptive as well as robust […]

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