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"Robotics call for proposals - Spring 2026" is currently closed and not accepting applications.
Robotics call for proposals - Spring 2026 is sponsored by Amazon Science. This call for proposals from Amazon Science focuses on advancing robotics research.
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Robotics call for proposals - Spring 2026 - Amazon Science Information and knowledge management Operations research and optimization Security, privacy, and abuse prevention Our scientific contributions Research from our scientists and collaborators. Our experts present and discuss cutting-edge research at scientific meetings globally.
Information and knowledge management Operations research and optimization Security, privacy, and abuse prevention Our scientific contributions Research from our scientists and collaborators. Our experts present and discuss cutting-edge research at scientific meetings globally. The latest from Amazon researchers Technical deep-dives and perspectives from our scientists.
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Faculty research opportunities on industry-scale technical challenges. Postdoctoral Science Program Early-career research opportunities alongside experienced industry scientists. Faculty research opportunities on industry-scale technical challenges.
Postdoctoral Science Program Early-career research opportunities alongside experienced industry scientists. Robotics call for proposals - Spring 2026 Pursuing the future of robotics research. By Amazon Research Awards team Amazon is advancing robotics technology to enable capable, safe, and intelligent robots that can operate alongside people in complex real-world environments.
Amazon Robotics designs, codes, builds, and manufactures game-changing software applications, control systems, robotics, and related hardware that is revolutionizing Amazon's operations across the globe.
We welcome proposals in the following research topics: AI for Robotics and Human-Robot Interaction : Topics of interest include multi-modal perception of complex 3D scenes and situations; multi-modal task grounding from human instructions spanning language, vision, gestures, and references to priors; and understanding long-term object dynamics in environments shared with people.
Areas of interest also include the effects of robot embodiment, and personality expression on user engagement, trust formation, and long-term acceptance in repeated interactions; legibility and transparency of autonomous robot intent, action, and decision-making in collaborative settings; and multi-modal communication strategies for robot error recovery, clarification, and repair in collaborative tasks.
Autonomous Navigation: Relevant areas include geometry-aware navigation accounting for the robot's configuration and payload; integration of multi-modal perception for navigation; reinforcement learning-based control policies for task-specific object interaction (e.g., doors and drawers); and scalable data generation for policy training.
Manipulation in Cluttered and Unstructured Environments : Topics of interest include manipulation under occlusion, stacking, and packing scenarios; compositional approaches to general-purpose manipulation; and non-prehensile manipulation related to contact force sensing and control; compliant control; generalizable surface and sweeping manipulation, impulsive manipulation, use of large multimodal models, and teleoperation.
Physical Reasoning and World Models : Relevant topics include world models learned from multimodal sensory data (vision, force, and tactile); causal reasoning about contact dynamics; semantic abstractions for contact-rich tasks; and simulation and synthetic data for real-world transfer.
Data for Manipulation : Topics of interest include physically grounded scenario and trajectory synthesis, including long-horizon task sequences; cross-embodiment transfer and retargeting; demonstration transfer across manipulation targets; synthetic data augmentation for novel object manipulation; and automated data quality evaluation methods.
Safety-Critical Control and Safe Reinforcement Learning: Relevant areas include safety for manipulation in complex environments; compliant body control and safe contact-rich control; body control robust to external disturbances; verification and monitoring of RL controller performance; safety-constrained reinforcement learning; and robust and verifiable human detection and localization.
Theoretical advances, creative new ideas, and practical applications are all welcome Submission period: March 25 — May 13, 2026 (11:59 PM Pacific Time).
Decision letters will be sent out in August 2026 Selected Principal Investigators (PIs) may receive the following: Unrestricted funds, no more than $50,000 USD on average AWS Promotional Credits, no more than $50,000 USD on average Training resources, including AWS tutorials and hands-on sessions with Amazon scientists and engineers Awards are structured as one-time unrestricted gifts.
The budget should include a list of expected costs specified in USD, and should not include administrative overhead costs. The final award amount will be determined by the awards panel. Please refer to the ARA Program rules on the rules and eligibility page .
Proposals should be prepared according to the proposal template and are encouraged to be a maximum of 3 pages, not including Appendices. Robotics will make the funding decisions based on the potential impact to the research community and the quality of the scientific content.
Expectations from recipients Amazon Research Awards team The 10 most viewed publications of 2025 From foundation model safety frameworks and formal verification at cloud scale to advanced robotics and multimodal AI reasoning, these are the most viewed publications from Amazon scientists and collaborators in 2025.
The 10 most viewed blog posts of 2025 From quantum computing breakthroughs and foundation models for robotics to the evolution of Amazon Aurora and advances in agentic AI, these are the posts that captured readers' attention in 2025.
Amazon Research Awards issues Spring 2026 call for proposals Amazon Research Awards team Submissions open March 25 and close on May 13, 2026 Applied Scientist, AWS Automated Reasoning Applied Scientist, AWS Automated Reasoning Applied Scientist, AWS Automated Reasoning Applied Scientist, AWS Automated Reasoning Applied Scientist, AWS Automated Reasoning Applied Scientist, AWS Automated Reasoning Applied Scientist, AWS Automated Reasoning Sr. Applied Scientist, AWS Automated Reasoning Applied Scientist, AWS Automated Reasoning Senior Applied Scientist, Buyer Risk Prevention (BRP) Do you want to lead the development of advanced machine learning systems that protect millions of customers and power a trusted global eCommerce experience?
Are you passionate about modeling terabytes of data, solving highly ambiguous fraud and risk challenges, and driving step-change improvements through scientific innovation? If so, the Amazon Buyer Risk Prevention (BRP) Machine Learning team may be the right place for you.
We are seeking a Senior Applied Scientist to define and drive the scientific direction of large-scale risk management systems that safeguard millions of transactions every day. In this role, you will lead the design and deployment of advanced machine learning solutions, influence cross-team technical strategy, and leverage emerging technologies—including Generative AI and LLMs—to build next-generation risk prevention platforms.
Key job responsibilities Lead the end-to-end scientific strategy for large-scale fraud and risk modeling initiatives Define problem statements, success metrics, and long-term modeling roadmaps in partnership with business and engineering leaders Design, develop, and deploy highly scalable machine learning systems in real-time production environments Drive innovation using advanced ML, deep learning, and GenAI/LLM technologies to automate and transform risk evaluation Influence system architecture and partner with engineering teams to ensure robust, scalable implementations Establish best practices for experimentation, model validation, monitoring, and lifecycle management Mentor and raise the technical bar for junior scientists through reviews, technical guidance, and thought leadership Communicate complex scientific insights clearly to senior leadership and cross-functional stakeholders Identify emerging scientific trends and translate them into impactful production solutions Collaborating with scientists around the world to fund research, share knowledge and encourage innovation.
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According to the current listing, eligibility includes: Full-time faculty members at accredited academic institutions. Confirm the full requirements in the official notice before applying.
The current listing shows no more than $50,000 USD on average in unrestricted funds; no more than $50,000 USD on average in AWS Promotional Credits. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was May 6, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
Robotics call for proposals - Spring 2026 is funded by Amazon Science. Verify program details on the funder's official page before applying.
This listing is flagged as international in scope. Check the official notice for country-specific restrictions before applying.
Applications go through the funder's official portal — the Apply Now link on this page goes there directly.
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