Shadow Combat League
51 posts

Shadow Combat League
@shadowcleague
Skill Meets Steel. Built on @virtuals_io & @base





3 days left to apply for Base Batches 003: Robotics, led by Virtuals Protocol. We're looking for builders working at the intersection of physical AI and onchain infrastructure: robotics agents, fleet coordination, robot data pipelines, and robot-to-agent commerce workflows via ACP. Each selected team receives up to $50K in investment, mentorship from Virtuals and @base teams, and a path to Demo Day at Network School(@ns) on May 7th. IRL build begins April 6th, 2026. If you're building robotic systems that need coordination, identity, permissions, and payments to scale beyond closed deployments, this track is for you. Application deadline: March 20th. Apply here: hack.virtuals.io


Strike Robot — Built for the Physical AI economy Our CTO breaks down how we’re turning robotics into real infrastructure: - SR Agentic (SafeGuard ASF): robots for industrial safety - SR Platform: control layer for AI agents, operators & fleets - Tele-operated workforce → deploy now, automate later - Physical AI BPO → real use cases, real revenue Data → training → automation (long-term moat)

3 days left to apply for Base Batches 003: Robotics, led by Virtuals Protocol. We're looking for builders working at the intersection of physical AI and onchain infrastructure: robotics agents, fleet coordination, robot data pipelines, and robot-to-agent commerce workflows via ACP. Each selected team receives up to $50K in investment, mentorship from Virtuals and @base teams, and a path to Demo Day at Network School(@ns) on May 7th. IRL build begins April 6th, 2026. If you're building robotic systems that need coordination, identity, permissions, and payments to scale beyond closed deployments, this track is for you. Application deadline: March 20th. Apply here: hack.virtuals.io


Researchers trained a humanoid robot to play tennis using only 5 hours of motion capture data The robot can now sustain multi-shot rallies with human players, hitting balls traveling >15 m/s with a ~90% success rate AlphaGo for every sport is coming


Researchers trained a humanoid robot to play tennis using only 5 hours of motion capture data The robot can now sustain multi-shot rallies with human players, hitting balls traveling >15 m/s with a ~90% success rate AlphaGo for every sport is coming










