
I build robots that see, decide, and act — transforming multimodal sensing into precise autonomous action.
Postdoctoral fellow at Johns Hopkins University working with Axel Krieger on autonomous surgical robots for precision surgery. I received my PhD degree from Duke University, working with Patrick Codd and Boyuan Chen, working across multimodal perception, surgical autonomy, and machine learning. My systems close the loop from raw sensory data to real-world intervention.
For JHU students: Interested in learning, imaging, or mechatronics? Reach out to me to discuss research opportunities.
Robots in action
SonicFly · flight demo — Aerial robots sensing and pursuing through the sound of flight. Watch on YouTube ↗
Selected research
2026 · Under reviewSonicFly: listening to the sound of flight
Passive aeroacoustic sensing enables a flying robot to estimate and pursue another using its intrinsic flight sound.
Under ReviewTumorMap: Fully-Automated 3D Tumor Mapping & Resection
Three-laser platform (OCT + fluorescence + cutting scalpel) with deep learning for noncontact tumor resection in murine models. Submillimeter accuracy.
News
Background & Vision
I am a Postdoctoral Fellow in Mechanical Engineering at Johns Hopkins University, working with Axel Krieger, Ph.D. since August 2026. I completed my Ph.D. in Mechanical Engineering and Materials Science at Duke University in 2026, advised by Patrick Codd, M.D. and Boyuan Chen, Ph.D. in the Brain Tool Lab.
I build closed-loop platforms that transform rich sensory data into precise autonomous action — from autonomous laser surgery (OCT + fluorescence + cutting lasers) to neural implicit representations for surgical navigation, acoustic sensing for multi-drone coordination, and multimodal tactile sensing for tissue assessment.
Before Duke, I co-led Futures+ across four countries and founded TEDxNITW. These experiences inform how I think about technology design for communities that need it most.
I served as Lab Manager at the Brain Tool Lab (2023–2026) and Instructor of Record for a Bass Connections course developing teleoperated surgical systems for rural clinics.
On Job Market for Faculty and Research Scientist Positions
My M.S. research at Duke was advised by Xiaoyue Ni; my B.Tech research at NIT Warangal was advised by P. Bangaru Babu.
Current appointment
- Postdoctoral Fellow
Johns Hopkins University
August 2026–present
Education
- Ph.D. MEMS, Duke
2022–2026 - M.S. MEMS, Duke
2020–2021 - B.Tech ME, NIT Warangal
2015–2019
Reviewing
- IEEE TRO
- IEEE/ASME T-MECH
- IEEE RA-L
- CoRL
- IEEE/RSJ IROS
- IEEE ISMR
- IEEE/BSN BSN
- IEEE/RAS RoboSoft
- JMRR
Awards
Sponsored research & grants
Selected projects and my role. Project amounts are total support, not individual awards.
Ultrasonic aspirator for soft-tissue resection
Project scoping and strategy; led proposal writing and assembly; IP coordination. PI: Patrick Codd, Duke University.
Reimagining Surgery for Rural Needs
Team Lead, Project Manager, and Instructor of Record. PI: Patrick Codd, Duke University.
Flexible sensors for precision laser surgery
Team Lead; led proposal writing. Faculty mentor: Patrick Codd.
Portable tumor diagnostics
PI; led proposal writing and built clinical collaborations in India. Faculty mentor: Patrick Codd.
Patent applications
- Systems and Methods for Neural OCT Tissue Representations for Robot-Guided Intervention
Prakash, R., McNabb, R. P., Codd, P. J. · US 64/045,412 · Provisional, patent pending.
- Systems and Methods for Acoustically Guided Surgery
Prakash, R., Chen, B., Codd, P. J., Lu, Yongjun. · US 63/988,766 · Provisional, patent pending.
- Device for Treating Orthostatic Syncope and Methods Thereof
Fudim, M., Richardson, E., Butch, J., Cross, V., Nandi, B., Lyon, R., Prakash, R., Ouyang, X., Miao, Y., Weil, B., Mitra, K., et al. · US 18/618,762 · Patent application, October 3, 2024.
Sharing the research
- Sensing–Driven Surgical Autonomy
Invited talk · Arizona State University · Medical Robotics Course
- Multimodal Autonomous Robots for Healthcare
Johns Hopkins University · March 30, 2026
- Innovating Surgical Robotics: Enhancing Precision and Automation in Minimally Invasive Procedures
IIT Patna · February 9, 2024
- Understanding the Basics of Natural Language Processing and Its Application to Processing Physicians’ Notes
Duke Family Medicine and Community Health Grand Rounds · September 14, 2021
Systems That See, Decide, and Act
Full-stack platforms integrating hardware, sensing, and algorithms for high-stakes autonomous operation.
2026 · Under reviewSonicFly: listening to the sound of flight
Passive aeroacoustic sensing enables a flying robot to estimate and pursue another using its intrinsic flight sound.
OCTN: Neural OCT Tissue Representations
Neural tissue representations for robot-guided precision intervention.
Under ReviewTumorMap: A Laser-Based Surgical Platform for 3D Tumor Mapping and Fully-Automated Tumor Resection
Multimodal surgical platform — leveraging OCT, laser-induced fluorescence, RGB images, to generate 3D pathological maps with learning-based mapping, enabling autonomous resection through laser scalpel. Validated in murine osteosarcoma and soft-tissue sarcoma with submillimeter accuracy.
ICRA 2026See, Plan, Cut: MPC-Based Volumetric Laser Surgery
Sampling-based MPC for OCT-guided volumetric ablation. Optimal trajectories respecting tissue constraints.
RoboSoft 2026PalpAid: Multimodal Pneumatic Tactile Sensor
Pneumatic tactile sensor for tissue palpation — mentored undergraduate project.
ISMR 2025Portable Dual Sensor Visualization
Large-area dual sensing for real-time surgical guidance in resource-constrained settings.
WACV 2026SurgXBench: Explainable VLM for Surgery
Vision-language model benchmark for surgical scene understanding.
BSN 2025Multimodal Tissue Boundary Delineation
Sensor fusion for tissue transition detection. Mentored project.
Brain-Mimicking Phantom for Photoablation
Tunable optical/mechanical phantoms for validating robotic laser surgery systems.
3D Laser-Tissue Agnostic Surgical Planning
Data-driven method for robotic laser surgical planning from 3D scans.
Papers & scholarly work
Published papers, manuscripts under review, and invited contributions. Status is listed for each work; * denotes equal contribution.

OCTN: Neural OCT Tissue Representations for Robot-Guided Precision Intervention
Intelligent Robotic Assistants for Minimally Invasive Surgery: From Camera Holders to Autonomous Task Partners

TumorMap: A Laser-Based Surgical Platform for 3D Tumor Mapping and Fully-Automated Tumor Resection

Design and Evaluation of a Compliant Quasi Direct Drive End-Effector for Safe Robotic Ultrasound Imaging

See, Plan, Cut: MPC-Based Autonomous Volumetric Robotic Laser Surgery

PalpAid: Multimodal Pneumatic Tactile Sensor for Tissue Palpation

SurgXBench: Explainable Vision-Language Model Benchmark for Surgery

Where is the Boundary? Multimodal Sensor Fusion Test Bench for Tissue Boundary Delineation

Sampling-Based Model Predictive Control for Volumetric Ablation in Robotic Laser Surgery

Portable Dual Sensor Large Area Visualization System for Robotic Laser Surgery
Extracting Critical Information from Unstructured Clinicians’ Notes Data to Identify Dementia Severity Using a Rule-Based Approach: Feasibility Study.
A Rule-Based Framework to Identify Severity of Dementia from Unstructured Electronic Health Record Data
A Blinded Study Using Laser-Induced Endogenous Fluorescence Spectroscopy to Differentiate Ex Vivo Spine Tumor, Healthy Muscle, and Healthy Bone
3D Laser-and-Tissue Agnostic Data-Driven Method for Robotic Laser Surgical Planning
Brain-Mimicking Phantom for Photoablation and Visualization
Comparative Study of Fluid Flow and Heat Transfer in Microchannels with Uniformly Varying Cross-Section
Optimization of Laser Photoablation for Robotic Soft-Tissue Surgery
Computer Vision for Increased Operative Efficiency via Identification of Instruments in the Neurosurgical Operating Room: A Proof-of-Concept Study
Building the Next Generation
Mentorship across high school, undergraduate, and graduate research, with publications at ICRA, RoboSoft, and BSN and placements at Google, Microsoft, Medtronic, and Ethicon.
Reimagining Surgery for Rural Needs: Robotics Teleoperation
Completed Bass Connections course (Fall 2025–Spring 2026): teleoperated laser surgery for rural clinics, optomechanical assembly, and hardware/software integration. Course evaluation: 4.25/5 (Fall 2025).
Intro to Medical Robotics
ML for Medical Robotics and Design of Experiments. Scaffolded self-learning for diverse experience levels.
Collaborative Expeditions
Self-learning modules on DOE, ML, Literature Review with reflections and case studies.
Experiment Design & Research Methods
Research scoping, rapid prototyping, portfolio development. 3 semesters.
Engineering Technology in Biomedical Applications
Robotics and AI for Laser Surgery: multimodal sensing, learning, neural state representations, and custom optomechanical hardware.
Students & Outcomes
Beyond the Lab
Leadership, community innovation, and institution-building.
The Evolving Landscape of Surgical Robotics
Organizers: Lin, S., Prakash, R., Lu, J., Jiang, F., Dou, Q., Goldberg, K.
ICRA Evolving Landscape of Surgical Robotics Workshop Organizer
“The Evolving Landscape of Surgical Robotics” at ICRA 2025. Curated lineup of 12 international researchers. Organizers: Lin, S., Prakash, R., Fichera, L., Mattos, L., Su, H., Yip, M. C., Codd, P., Webster, R. J. III.

Futures+: Multi-National Deep Tech Innovation Program
Co-led a 6-month innovation program across Bhutan, Indonesia, India, and Singapore with 16 partners. Three finalist solutions deployed in northeast India and Indonesia. Direct engagement with farming communities shaped modular, repairable design principles.
TEDxNITW
Founded the TEDx chapter at NIT Warangal. Organized the inaugural event with 400+ attendees — speaker curation, sponsorships, and production.
Duke Garage Lab
Lab & Curriculum Development Fellowship. Co-designed and built Duke’s newest prototyping space for the MEMS capstone program.
Design Health Fellow
Duke Design Health program — clinical immersion and needs-finding methodology for healthcare innovation.
MEMS Graduate Student Committee
President. Department events, student advocacy, and cross-lab networking for 100+ graduate students.
Features & Coverage
Videos, interviews, and media coverage of my work.
Research in the news
Leading across disciplines: my Bass Connections experience
A profile of my work as an instructor, researcher, and mentor, connecting surgical robotics with the needs of rural healthcare providers.
Read the profile ↗Photo: Duke Bass Connections
SonicFly in Video Friday
Our aerial sensing demonstration was selected for IEEE Spectrum’s weekly robotics video roundup.
Read the roundup ↗SonicFly in India Today
Science coverage of our acoustic drone-following research.
Read the story ↗How Can Robotic Surgery Improve Access To Specialized Healthcare in Rural Communities?
Our team describes the robotic laser surgery prototype, clinician-informed design, and interdisciplinary collaboration behind Reimagining Surgery for Rural Needs.
Read the team’s story ↗
More SonicFly coverage
- DroneXL · Duke University’s sound-guided drone pursuitAugust 18, 2026
- Elettronica In · SonicFly: following another drone through soundAugust 22, 2026 · Italian-language coverage
Robots in action
SonicFly · flight demo — Aerial robots sensing and pursuing through the sound of flight. Watch on YouTube ↗
Research videos & conference photos
Selected conference moments and presentations.
See, Plan, Cut
MPC-based autonomous volumetric robotic laser surgery with OCT guidance. Full paper video.
PalpAid
Pneumatic tactile sensor for tissue palpation. Full paper video for the mentored RoboSoft 2026 project.

Drones Transforming Research in Duke Forest
Feature on our multi-drone acoustic sensing work for environmental monitoring and wildlife tracking.
Day in the Life: Duke Robotics
A look at my day-to-day work at Duke — from the Brain Tool Lab to surgical robotics, sensing, and building systems that see, decide, and act.
Master’s Degrees in Mechanical Engineering, Duke University
Featured in Duke MEMS program video highlighting graduate research and robotics at Duke.