Project Filter Full View - Honda Research Institute USA
The ability to predict the future behavior of agents (individuals, vehicles, cyclists, etc.) is paramount in developing navigation strategies in a range of applications including motion planning...
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Physical human-robot interaction (pHRI) has been studied mostly for physical assistance and collaboration, and interactions take place mostly at end-effectors.
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The push for the deployment of autonomous vehicles (AV) is already a reality in many cities and roads around the world. AVs make use of the improved capabilities in sensing and perception to...
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Mobile robots moving in crowded environments have to navigate among pedestrians safely. Ideally, the way the robot avoids the pedestrians should not only be physically safe but also perceived safe...
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Real-time navigation in dense human environments is a challenging problem in robotics. Most existing path planners fail to account for the dynamics of pedestrians because introducing time as an...
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Semantic Understanding of complex traffic scenes is an important area of research for ubiquitous deployment of advanced driving assistance and automated driving technologies in urban environments.
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Low-dimensional materials, 0D (quantum dots), 1D (nanowires, nanotubes) and 2D (graphene, transition metal dichalcogenides), show unique and exotic properties compared to their bulk counterparts...
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Research in relational reasoning and multi-agent interaction modeling have broad impact in many research fields such as visual reasoning, dynamics modeling, multi-agent systems, perception, scene...
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Leveraging intelligent technologies like wearable electronics, miniaturized sensors, big data analysis and machine learning provide novel opportunities to improve the quality of human health.
Tactile sensing is inherently contact-based. To use tactile data robots need to make contact with the surface of an object. In order to manipulate the object, often, robots need to make multiple...
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Properly calibrated human trust is essential for successful interaction between humans and automation.
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Solar energy exploitation is clearly of central importance for our research.
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Although human behavior is complex, it is structured along individual, social, and cultural lines.
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The underlying qubit technology plays dominant role in a architecture and performance of quantum system.
One of the key technology towards situationally adaptive driver assistance systems is understanding and monitoring of driver situational awareness (SA). Current collision warning systems simply...
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Anomaly detection in driving scenes is an important problem in advanced driver assistance systems (ADAS).
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Hydrogen production from electrochemical water splitting is widely expected to play one of the central roles in developing clean, renewable energy for future. The currently most efficient catalyst...
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Rapid development and miniaturization of portable and wearable electronics requires compact powering devices with highest possible energy density combined with mechanical flexibility.
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Our group has extensive expertise in synthesis and characterization of various carbon allotropes, including graphene and single wall carbon nanotubes (SWCNT).
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Lithography patterning for device fabrication is detrimental to the intrinsic electronic properties of the extremely thin 2D materials, which is vulnerable to any weak external perturbation.