Below is a list of some of Neya’s past and present projects.
Adaptive and Modular Multi-terrain Mobility Planner (AM3P)
Neya Systems is the prime contractor on Adaptive and Modular Multi-terrain Mobility Planner (AM3P), an RTC-funded program to develop a model-predictive hierarchical motion planner for navigation of diverse mobile robot systems in heterogeneous environments. Working with the NASA Jet Propulsion Laboratory and Carnegie Mellon University, we are designing and building a planner that can be developed and shared across many diverse terrestrial platforms by developing layers of intelligence that are agnostic to vehicle-specific information. The AM3P system provides high-speed inertial maneuver planning and control within complex terrain while adapting to dynamically changing mission-dictated mobility constraints and objectives.
TATRC Casualty Evacuation and Mission Management System
The Neya Systems CASEVAC Mission Management System (CEMMS) is a Phase I STTR, under which we are addressing a critical need to intuitively and rapidly manage the use of unmanned systems in a wide variety of Robotic CASEVAC missions, ranging from rapid tactical extraction to collaborative MEDEVAC scenarios.
Neya Systems is contracted under a TARDEC Phase II SBIR to develop mission planning and management capabilities to translate soldier’s intent to robot action. We have received Fast Track matching funding from OSD for this effort, to transition SBIR developed technology from the Ground Domain to the Air Domain. Read more…
NSF Post Harvest Produce Classification
In this National Science Foundation (NSF) Phase I SBIR, we are developing geometric modeling and classification techniques to classify a wide variety of produce as “premier”, “regular”, or “deficient”. The application area is post-harvest sorting for small farms. Our key innovation is use of low cost COTS structured light sensors (e.g. MS Kinect) and boosted classifiers to enable operation on multiple types of produce. Existing systems are $100K-2M, and operate on a single type of produce. Our system will be significantly lower cost and offer much greater flexibility, and be within reach of local farm collectives.
We are participating in the TARDEC CANINE competition as a prime, and developing the perception, navigation, and human/robot interaction capabilities needed to allow an unmanned platform to ‘learn’ the appearance of an object, then identify and retrieve it from a field that contains distractor objects. Only naturalistic interaction (gestures, voice) with the platform is allowed. The CMU Robotics Institute is a subcontractor to us on this effort.
RTC Digital Video and Imaging System
Under this RTC effort, we are developing a small, low power (4-10W) h264 video encoding engine based on the TI DaVinci chipset, for integration on the small UGVs. This engine supports multiple video formats, such as NTSC, HDMI, CameraLink, USB, IEEE-1394, and Gigabit Ethernet, and encodes 1080p HD video into h.264, with a to-network latency of under 100ms. Skeyes, Inc, is a subcontractor to us on this effort.
RTC Ladar Visualization and Imaging System
Under this RTC effort, we are developing software to interface to a COTS Flash Lidar, and compress depth and color imagery from the lidar in real time, with sub-100ms latency. We are developing the compression software, based on existing CODECs, along with visualization, data logging/playback, and meta-data tagging tools.
UAS Control Segment Architecture Support
We are supporting the development of the OSD UCS Architecture. Neya personnel have multiple leadership roles (Vice-Chair, Tools SC chair, Experiments TG chair, Mission Planning Vice-Lead).
We are the technical and programmatic lead of the JAUS Tool Set, which is the only fully open source implementation of the SAE AS-4 JAUS standard. This toolset is currently in use by AEODRS, RS-JPO, and many commercial organizations. Read more…