Presear develops AI-powered robotics solutions — manipulation planning, grasping, visual servoing, and human-robot collaboration — for manufacturing, logistics, and service applications.
Technical Depth
From precise manipulation to collaborative human-robot interaction — here are the core capabilities we bring to every robotics project.
Computing collision-free joint trajectories for 6-degree-of-freedom robotic arms using sampling-based planners (RRT-Connect, CHOMP) and analytical and numerical inverse kinematics solvers. We handle redundant manipulators, singularity avoidance, joint limit constraints, and real-time replanning for dynamic environments.
Detecting and estimating 6D object poses from RGB-D camera data, generating stable grasp candidates using analytical and learned grasping networks (GraspNet, Contact-GraspNet), and executing closed-loop visual servoing to achieve sub-millimeter placement accuracy on unstructured workpieces.
Equipping robots with contact intelligence — integrating F/T sensors and tactile skin arrays into compliant control loops that modulate contact forces during assembly, insertion, and polishing tasks. Impedance and admittance control strategies prevent damage to delicate workpieces and ensure assembly tolerances are met reliably.
Building robots that safely share workspaces with humans — implementing ISO 10218/TS 15066 speed-and-separation monitoring, human pose estimation for intent prediction, and cooperative task execution that dynamically adjusts robot behaviour based on proximity, task state, and operator actions.
Training manipulation and locomotion policies in physics simulators with domain randomisation — varying object masses, friction coefficients, lighting, textures, and sensor noise — to build policies robust enough to transfer directly to real hardware without additional data collection. This reduces robot training time from months to days.
Training multi-fingered grippers and dexterous hands to perform complex in-hand manipulation tasks — reorientation, insertion, assembly — using deep reinforcement learning with shaped reward functions and curriculum learning. We solve contact-rich manipulation problems that traditional planning approaches cannot handle.
Our Process
A rigorous five-stage process. Click any step to explore what happens — and why it matters.
We begin by deeply understanding the task — the objects, the tolerances, the cycle time targets, the human co-presence requirements, and the failure modes that matter. Workspace geometry, part variability, and existing automation infrastructure are all catalogued before any hardware or software decision is made.
We select the optimal robot platform — UR, KUKA, FANUC, ABB, or custom — along with end-effectors, sensors, and mounting configurations. Hardware integration covers communication protocols (EtherCAT, Profinet), safety PLC interfaces, and physical installation, all validated against the task requirements from step one.
Building the vision and sensing layer that gives the robot situational awareness — object detection, 6D pose estimation, bin-picking segmentation, surface defect detection, and human skeleton tracking. Perception models are trained on domain-specific data collected in situ or via sim-to-real pipelines.
Integrating MoveIt2 or custom planners with the robot controller, tuning trajectory smoothness and cycle time, and implementing closed-loop control with force/torque and vision feedback. We validate motion plans in simulation before deploying to hardware, using the sim-to-real pipeline to identify failure modes early.
Comprehensive safety validation covering risk assessment (ISO 10218, EN ISO 13849), collision testing, E-stop verification, and HRC speed-and-separation monitoring. Production deployment includes operator training, remote monitoring dashboards, and support contracts with SLA-defined response times.
Real-World Impact
Production robotics deployments across industries — each delivering measurable throughput, quality, and safety improvements.
Core Challenge
Manual pick-and-place on high-volume assembly lines is a source of fatigue, repetitive strain injuries, and quality variation. Traditional fixed-program robots cannot handle part variation, mixed SKUs, or bin-picking scenarios without expensive fixturing that constrains production flexibility.
Who Benefits
Automotive suppliers, electronics assembly plants, and consumer goods manufacturers that need flexible, vision-guided pick-and-place cells capable of handling part variation without line reconfiguration — achieving high OEE at a fraction of the fixture cost.
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E-commerce fulfilment warehouses face acute labour shortages during peak periods. Manual picking is the highest-cost, highest-error step in the order fulfilment process — and it is the most difficult to automate due to the enormous variety of SKUs, packaging, and fragility requirements.
Who Benefits
3PL operators, e-commerce fulfilment centres, and grocery distribution hubs that process high SKU counts and need robotic picking solutions capable of handling novel products without pre-programmed grasp templates for every item.
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Surgical procedures demand sub-millimeter precision, fatigue-free consistency, and the ability to operate in tissue-constrained environments. Surgeons performing long procedures face hand tremor and fatigue — while robotic systems require AI perception to navigate anatomy accurately and safely.
Who Benefits
Hospital robotics programs, surgical device companies, and research institutions developing next-generation robotic surgery platforms that need AI-driven tissue segmentation, tool tracking, and autonomous sub-task execution under surgeon supervision.
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Fruit and vegetable harvesting requires gentle, selective grasping in cluttered, variable-lighting outdoor environments. Seasonal labour shortages and rising wages are making manual harvesting economically unviable, but the task's variability and delicacy have blocked commodity robotics solutions.
Who Benefits
Berry, tomato, and pepper growers and agri-robotics companies that need vision-guided harvesting arms capable of detecting ripeness, planning collision-free paths through plant canopies, and executing gentle grasps without bruising.
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Industry-standard frameworks, simulators, and robot SDKs — chosen for performance, compatibility, and long-term maintainability.
Frequently Asked
Answers to the questions operations managers, automation engineers, and CTOs ask before starting a robotics AI engagement with Presear Softwares.
Ask Our Robotics TeamPartner with Presear Softwares to build intelligent robotic systems that go beyond proof-of-concept — precisely validated, safety-certified, and designed to deliver operational value from day one.