Environment Perception
Fuse cameras, lidar, audio and touch to understand the current environment.
ROBOT TASK AGENT
RoboAgent
Execute trained policies reliably on robots and close the feedback loop
RoboAgent connects skill compilation, task decomposition, motion planning and low-level control so robots understand environments, plan autonomously and keep improving through real work.
CORE CAPABILITIES
Core Capabilities
Task Orchestration
Break complex tasks into reusable atomic skills and execute them dynamically.
Motion Control
Coordinate grasp, trajectory and force control for stable operation.
Feedback Learning
Validate results, recover from errors and continuously improve policies.
EMBODIED EXECUTION AGENT
From Understanding to Reliable Action
Perception, planning, execution and evolution converge into one workflow so robots can understand their environment, plan autonomously and improve through real operations.
UnderstandPerceive
Multimodal perception · Scene understanding
01
Full-spectrum Perception
Cameras, lidar, microphones and touch work together to track the environment and robot state.
02
Scene Understanding
3D reconstruction and semantic maps identify where objects are, what they are and how they can be manipulated.
Plan ClearlyPlan
Skill invocation · Motion planning
03
Skill Library
Compose atomic actions like building blocks to create new operational skills quickly.
04
Manipulation and Grasping
Grasp planning and compliant control hold securely, place accurately and protect objects.
05
Motion Planning
Generate time-optimal trajectories while dynamically avoiding people and obstacles.
Act ReliablyAct
Task execution · Motion control
06
Task Execution
Decompose large tasks automatically, monitor progress and handle exceptions in real time.
07
Low-level Control
Millisecond joint torque and force or impedance control produce smooth, precise motion.
08
Mobile Navigation
Accurate localization, path planning and dynamic obstacle avoidance reach the right place safely.
Keep ImprovingEvolve
Multi-robot collaboration · Continuous evolution
09
Multi-robot Collaboration
Allocate tasks automatically and share information in real time for efficient fleet coordination.
10
Closed-loop Feedback
Validate outcomes continuously, recover from deviations and improve performance.
11
Continuous Evolution
Online learning updates skills and policies continuously from operational data.
Closed-loop feedback: observations and outcomes from every execution return to perception and policy, creating an operational agent that keeps learning and growing.
LET'S BUILD TOGETHER
Want to learn more about RoboAgent?
Our solution team can provide product demos, trials and custom integration support for your application.
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