Robotics capital moves — 24–30 August 2026 - 2026-08-30 - Article - Funding rounds, acquisitions and other capital transactions across robotics, autonomous systems and their enabling technologies.
BiDex-100: A Comprehensive Benchmark for Bimanual Dexterous Manipulation Across 100+ Simulation Tasks - 2026-10-18 - Research Publication - BiDex-100 is a simulation benchmark with 106 bimanual dexterous tasks across five capability axes. It supplies8,080 validated teleoperated demonstrations across dual-Franka and Astribot S1 simulation embodiments. - source: arxiv.org
FACT: A Multimodal Force-Action-Track Foundation Model for Human-to-Robot Dexterity - 2026-10-13 - Research Publication - FACT combines visual planning with force-aware action refinement for dexterous manipulation. Its ten-task physical evaluation uses YAM Ultra arms and Sharpa Wave hands; robot pretraining also reuses the T-Rex collection… - source: arxiv.org
Forward and Reverse Teleoperation for Dexterous Manipulation and Human Intervention - 2026-09-30 - Research Publication - An actuated exoskeleton renders force and vibrotactile feedback during forward teleoperation. Reverse teleoperation aligns the operator’s hand with the policy-controlled robot before takeover. The described DITTO-Human… - source: arxiv.org
FINGR: Learning Dexterous Hand Control for Real-World Rubik’s Cube Solving - 2026-09-27 - Research Publication - UC San Diego’s FINGR learns contact-rich finger control from demonstrations using finger-relative geometry and future-interaction prediction. Physical evaluation uses a Sharpa Wave hand on an xArm7, with coded-marker cube… - source: arxiv.org
DexTacWAM: A Visuo-Tactile World-Action Model for Dexterous Manipulation - 2026-09-21 - Research Publication - DexTacWAM extends a video world-action model with per-fingertip tactile prediction and a hand-aware tactile compressor. Across six contact-rich tasks on a bimanual Dexmate and Sharpa setup, it averages 70.6 against 38.0… - source: arxiv.org
Robotic Origami Challenge: Fold Plane Demonstrations - 2026-06-21 - Research Publication - A Sharpa Wave dataset for contact-rich, long-horizon imitation learning, with synchronized vision, tactile video, fingertip force/torque data and bimanual joint actions. - source: huggingface.co
MagicSim: A Unified Infrastructure for Executable Embodied Interaction - 2026-06-16 - Research Publication - MagicSim proposes a shared runtime for simulated robot control, skills and planning, combining executable robot embodiments with multiple drivers. Its registry includes Unitree G1 variants and a Vega-1P mobile manipulator… - source: arxiv.org
T-Rex: Tactile-Reactive Dexterous Manipulation - 2026-06-15 - Research Publication - T-Rex evaluates two physical 22-DoF Sharpa Wave hands with per-fingertip tactile deformation and six-axis wrench sensing. The work introduces 100 hours of tactile-rich robot data and reports more than 30% higher average… - source: arxiv.org
Contrastive Action-Image Pre-training for Visuomotor Control - 2026-06-15 - Research Publication - CAIP learns action-centred visual representations from 32,041 hours of egocentric human video and 88 hours of robot manipulation data. Physical evaluation uses a Dexmate Vega with two 22-DoF Sharpa Wave hands and reports… - source: arxiv.org
FTP-1: A Generalist Foundation Tactile Policy Across Tactile Sensors for Contact-Rich Manipulation - 2026-06-11 - Research Publication - FTP-1 trains a generalist tactile policy across heterogeneous sensors and embodiments using about 3,000 hours from 26 data sources. Physical evaluations include Sharpa North and a Sharpa-equipped Dexmate platform… - source: arxiv.org
MoDE-VLA - 2026-03-09 - Research Publication - Sharpa released a paper describing RL-augmented teleoperation and Mixture-of-Dexterous-Experts VLA for contact-rich bimanual manipulation The work uses shared-autonomy primitives for high-DoF control and combines vision… - source: arxiv.org
EgoScale: Scaling Dexterous Manipulation with Diverse Egocentric Human Data - 2026-02-18 - Research Publication - EgoScale pretrains a vision-language-action policy on 20,854 hours of action-labelled egocentric video and evaluates physical bimanual manipulation on Galaxea R1Pro with two 22-DoF Sharpa Wave hands. Its final policy… - source: arxiv.org
SimToolReal: An Object-Centric Policy for Zero-Shot Dexterous Tool Manipulation - 2026-02-18 - Research Publication - SimToolReal trains one object-centric reinforcement-learning policy in simulation and deploys it on a physical 22-DoF Sharpa five-finger hand. Across 120 real-world rollouts spanning 24 tasks, 12 objects and six tool… - source: arxiv.org