Updated continuously · Last updated August 31, 2026
Four pillars of the RobotWale library - from humanoids to the AI stack underneath.
Tesla Optimus, Figure 02, Unitree H1, Apptronik Apollo and more.
Explore →VLA models, imitation learning and the robotics foundation models.
Explore →Robot vacuums, cooking bots and the robots already living in Indian homes.
Explore →DJI Agras, Garuda Aerospace, ideaForge and India's drone wave.
Explore →Fresh from the library.

A technical assessment of the Shadow Hand, Allegro Hand, and Inspire Hand, graded by deployment maturity, control architecture, tactile sensing, and India availability.

A grounded analysis of quasi-direct-drive (QDD) actuator architecture, its role in enabling backdrivable joints for modern humanoids, current hardware deployment status, and availability in the Indian market.

A hardware-first assessment of event cameras for robotics, covering asynchronous pixel-level detection, current shipping modules, integration constraints, and India availability with landed cost estimates.

A grounded assessment of simultaneous localisation and mapping (SLAM) stacks, focusing on ORB-SLAM, visual-inertial odometry, and multi-modal map-building. Analysis prioritises shipping sensors, deployed humanoid platforms, and India availability with landed cost estimates.

A measured assessment of commercial tactile skin technologies, comparing GelSight, BioTac, and capacitive touch arrays against actual shipping hardware, pilot deployments, and manufacturer specifications, with India availability and landed cost estimates.

A hardware-first assessment of solid-state LiDAR, Time-of-Flight, and stereo depth sensors deployed in humanoid and robotic systems, with verified specifications, deployment grading, and India landed cost estimates.

An evidence-based assessment of robotics foundation models like RT-2, Physical Intelligence’s Pi, and NVIDIA GR00T, graded by actual deployment stages and mapped to India’s emerging robotics supply chain.

A grounded assessment of simulation-to-reality transfer frameworks, focusing on NVIDIA Isaac Sim and Google DeepMind MuJoCo, their current deployment status, hardware prerequisites, and availability in the Indian market.

An evidence-graded analysis of reinforcement learning applications in humanoid locomotion and manipulation, prioritizing shipping hardware over concept demos. Covers sim-to-real pipelines, production control architectures, India market availability, and engineering constraints.
Humanoid launches, deployments, funding and India-focused coverage - in one place.






Humanoid robotics is one of the most exciting fields in tech - and also one of the noisiest. We cover what is shipping, what it costs, and how it actually behaves in the real world. Especially in India.
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