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Mbanisi - Resume","","Robotics-focused resume for Kenechukwu C. Mbanisi, presenting experience in research and engineering roles centered on safe motion planning, autonomous navigation, SLAM, shared autonomy, and human-driver modeling. Highlights include building shared autonomy frameworks, defining robotics software architecture for delivery robots, and developing end-to-end collision avoidance and indoor navigation using deep reinforcement learning. Lists PhD/MS education in robotics engineering, a comprehensive technical skills section spanning ROS, Python, PyTorch, and simulation tools, plus awards and invited roles.",{"@graph":63,"@context":118},[64,80,101],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":16,"@type":70,"position":76},"https://docshare.wps.com/template/resumes/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/kenechukwu-c-mbanisi-resume/256460/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/kenechukwu-c-mbanisi-resume/256460.png","ImageObject",442,249,{"name":88,"@type":89},"Fahsai","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-10-06","2026-09-13",true,{"@type":98,"interactionType":99,"userInteractionCount":76},"InteractionCounter",{"@type":100},"ViewAction",{"@type":102,"mainEntity":103},"FAQPage",[104,110,114],{"name":105,"@type":106,"acceptedAnswer":107},"What are Kenechukwu Mbanisi’s main robotics specialties?","Question",{"text":108,"@type":109},"He focuses on safe motion planning and autonomous navigation, including SLAM, assisted driving, shared autonomy, and reinforcement learning. He also covers computer vision and driver behavior modeling.","Answer",{"name":111,"@type":106,"acceptedAnswer":112},"What key experience does he list?",{"text":113,"@type":109},"He worked as a Research Assistant at WPI building shared autonomy frameworks for safe mobile robot navigation. He also served as a Robotics R&D Engineer at CAYTU SARL, defining software architecture for a semi-autonomous delivery robot system.",{"name":115,"@type":106,"acceptedAnswer":116},"What projects demonstrate his technical skills?",{"text":117,"@type":109},"His projects include socially-aware robot navigation with haptic shared control, last-mile robot navigation with simulation and competition packages, and RoboNav for indoor navigation using deep reinforcement learning. 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Mbanisi  \n774-578-4063 􀀏 [kene.mbanisi@gmail.com](kene.mbanisi@gmail.com) 􀀏 [kenembanisi.github.io](kenembanisi.github.io) 􀀏 [linkedin.com/in/kenembanisi](linkedin.com/in/kenembanisi)  \nSummary  \n\n| Robotics Research & Software Engineer. Specialties in safe motion planning and autonomous navigation, SLAM, assisted driving, shared autonomy, reinforcement learning, computer vision, driver behavior modeling.\u003Cbr>Experience |\n| --- |\n| Research Assistant, Robotics Engineering, WPI May 2017 – Dec 2021\u003Cbr>􀀏 Building shared autonomy frameworks for safe navigation of mobile robots using classical and RL approaches\u003Cbr>􀀏 Developed an integrated human driver simulation framework for studying realistic human-vehicle interaction Robotics R&D Engineer, CAYTU SARL, Senegal May 2021 – Aug 2021\u003Cbr>􀀏 Defined the robotics software architecture for a new product line (semi-autonomous delivery robot system)\u003Cbr>􀀏 Coordinated engineering and software teams, and managed project schedules and timelines\u003Cbr>Projects |\n| Shared Autonomy for Socially-Aware Robot Navigation | C++, ROS, Python, OpenCV\u003Cbr>􀀏 Developing a haptic shared control framework for enabling remote teleoperation of mobile telepresence robots\u003Cbr>􀀏 Developing dynamic collision avoidance algorithms with social navigation constraints using Velocity Obstacle-based and reinforcement learning approaches\u003Cbr>Last-Mile Robot Navigation (Pan-African Robotics Competition Package) | ROS, Gazebo, Turtlebot3\u003Cbr>􀀏 Developed photo-realistic city simulation in Gazebo for last-mile mobile robot navigation\u003Cbr>􀀏 Developed and maintained software packages (simulation & real robot) for the competition serving 30+ teams\u003Cbr>RoboNav: Indoor Navigation using Deep Reinforcement Learning | Python, PyTorch, ROS, Gazebo\u003Cbr>􀀏 Enabled end-to-end learning for dynamic collision avoidance for a mobile robot using only raw 2D lidar inputs\u003Cbr>􀀏 Successfully implemented and trained models using Deep Q-Learning and DDPG algorithms\u003Cbr>Driver Behavior Modeling via Imitation Learning | Python, MoCap, OpenSim, MATLAB\u003Cbr>􀀏 Developed a imitation learning approach to analyze driver maneuvers and built a motion library of driving styles\u003Cbr>􀀏 Designed and conducted a fixed cockpit driving user study to collect vehicle maneuver motion data\u003Cbr>Surgical Robotics using an Industrial Manipulator Robot | ROS, Arduino, Python\u003Cbr>􀀏 Developed mechanism to enable mounting a da Vinci Research Kit insertion tool on an ABB Industrial robot\u003Cbr>􀀏 Developed a software package consisting of kinematics, trajectory generation, and teleoperation functionality\u003Cbr>Education |\n| Doctor of Philosophy (PhD), Robotics Engineering Aug 2016 – Mar 2022\u003Cbr>Worcester Polytechnic Institute, MA, USA\u003Cbr>Master of Science (MS), Robotics Engineering Aug 2016 – May 2018\u003Cbr>Worcester Polytechnic Institute, MA, USA\u003Cbr>Bachelor of Engineering, Electrical and Electronics Engineering Sep 2008 – Jul 2013\u003Cbr>Covenant University, Ota, Nigeria\u003Cbr>Skills |\n| 􀀏 Robotics Tools: ROS, Gazebo, RViz, OpenCV\u003Cbr>􀀏 Programming: C++, Python, MATLAB, LaTeX, R\u003Cbr>􀀏 Software Tools: VSCode, OpenSim, Git, PyTorch, OpenAI Gym, CARLA, Simbody, Linux\u003Cbr>􀀏 Hardware & Robots: Turtlebot3, Universal Robot (UR5), ABB IRB 120, VEX Robot Kit, Arduino Awards & Activities |\n\n􀀏 Recipient of the 2021 Dr. Glenn Yee Graduate Student Tuition Award  \n􀀏 Technical Coordinator, 2021 Pan-African Robotics Competition (PARC)  \n􀀏 Invited Panelist at Society, Robots and Us program (Jan 2021) by Silicon Valley Robotics  \n􀀏 Invited Reviewer: IEEE T-ITS (2019), IEEE IROS (2018)","cbCaiqIxnO5p7CKo","https://ap.wps.com/l/cbCaiqIxnO5p7CKo","pdf",86592,"English","# Summary\n# Experience\n# Projects\n# Education\n# Skills\n# Awards & Activities","[{\"question\":\"What are Kenechukwu Mbanisi’s main robotics specialties?\",\"answer\":\"He focuses on safe motion planning and autonomous navigation, including SLAM, assisted driving, shared autonomy, and reinforcement learning. He also covers computer vision and driver behavior modeling.\"},{\"question\":\"What key experience does he list?\",\"answer\":\"He worked as a Research Assistant at WPI building shared autonomy frameworks for safe mobile robot navigation. He also served as a Robotics R\\u0026D Engineer at CAYTU SARL, defining software architecture for a semi-autonomous delivery robot system.\"},{\"question\":\"What projects demonstrate his technical skills?\",\"answer\":\"His projects include socially-aware robot navigation with haptic shared control, last-mile robot navigation with simulation and competition packages, and RoboNav for indoor navigation using deep reinforcement learning. He also describes driver behavior modeling via imitation learning and surgical robotics with an industrial manipulator.\"}]","Kenechukwu C. Mbanisi - Resume | PDF",1789304176]